timeseries listlengths 3 3 | cols listlengths 3 3 | question stringlengths 775 987 | question_type stringclasses 3 values | answer stringlengths 30 113 | attributes listlengths 1 1 | ability_types listlengths 1 1 | options listlengths 4 4 | correct_index int64 0 3 |
|---|---|---|---|---|---|---|---|---|
[
[
-1.462732092048912,
25.875691083018705,
-2.059050644495064,
-0.25239063019990304,
0.23067674773842803,
-2.28655338366446,
-1.908718129224407,
-0.403725128602265,
-1.7162927645544381,
-1.015411139349778,
-1.539234858185831,
-0.595148510140528,
0.298160072712052,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 166 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["immediate thermal surge in the rolling contact with negligible dynamic response", "foreign material collision that gets stuck and sustains persistent rubbing contact", "adjustment of belt tension affecting operational conditions", "abrupt roller lock-up under load with instantaneous loss surge and excitation"] | how_happened | immediate thermal surge in the rolling contact with negligible dynamic response | [
"immediate thermal surge in the rolling contact with negligible dynamic response"
] | [
"MCQ_cause"
] | [
"immediate thermal surge in the rolling contact with negligible dynamic response",
"foreign material collision that gets stuck and sustains persistent rubbing contact",
"adjustment of belt tension affecting operational conditions",
"abrupt roller lock-up under load with instantaneous loss surge and excitation... | 0 |
[
[
-1.462732092048912,
25.875691083018705,
-2.059050644495064,
-0.25239063019990304,
0.23067674773842803,
-2.28655338366446,
-1.908718129224407,
-0.403725128602265,
-1.7162927645544381,
-1.015411139349778,
-1.539234858185831,
-0.595148510140528,
0.298160072712052,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 166 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty", "record restart events alongside immediate load activation", "check that the belt replacement or resetting was executed correctly", "track frictional losses and schedule maintenance before condition worsens"] | suggested_fix | immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty | [
"immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty"
] | [
"MCQ_fix"
] | [
"immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty",
"record restart events alongside immediate load activation",
"check that the belt replacement or resetting was executed correctly",
"track frictional losses and schedule maintenance before condition worsens"
] | 0 |
[
[
0.5521205949622481,
-9.732771857645272,
0.222887552592811,
0.58125676189935,
0.3773070665826,
0.16170290449100802,
-0.40061513182154,
-9.732771857645272,
0.042246790825742,
-0.442861922647282,
-0.19520927939099,
-9.713833674752683,
-9.732771857645272,
-9.732... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration shows a slow increase over an extended period, while temperature does not deviate from its baseline", "vibration decreases to a minimal level and subsequently, both vibration and temperature escalate together", "a sudden increase in temperature is observed while vibration remains within its normal limits", "a fast climb in vibration is observed without a corresponding temperature change"] | what_happened | a sudden increase in temperature is observed while vibration remains within its normal limits | [
"a sudden increase in temperature is observed while vibration remains within its normal limits"
] | [
"MCQ_obs"
] | [
"vibration shows a slow increase over an extended period, while temperature does not deviate from its baseline",
"vibration decreases to a minimal level and subsequently, both vibration and temperature escalate together",
"a sudden increase in temperature is observed while vibration remains within its normal li... | 2 |
[
[
0.5521205949622481,
-9.732771857645272,
0.222887552592811,
0.58125676189935,
0.3773070665826,
0.16170290449100802,
-0.40061513182154,
-9.732771857645272,
0.042246790825742,
-0.442861922647282,
-0.19520927939099,
-9.713833674752683,
-9.732771857645272,
-9.732... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["severe structural looseness without heat generation", "immediate thermal surge in the rolling contact with negligible dynamic response", "sudden product jam creating immediate shock impact and friction surge", "incremental imbalance formation in mechanical systems"] | how_happened | immediate thermal surge in the rolling contact with negligible dynamic response | [
"immediate thermal surge in the rolling contact with negligible dynamic response"
] | [
"MCQ_cause"
] | [
"severe structural looseness without heat generation",
"immediate thermal surge in the rolling contact with negligible dynamic response",
"sudden product jam creating immediate shock impact and friction surge",
"incremental imbalance formation in mechanical systems"
] | 1 |
[
[
0.5521205949622481,
-9.732771857645272,
0.222887552592811,
0.58125676189935,
0.3773070665826,
0.16170290449100802,
-0.40061513182154,
-9.732771857645272,
0.042246790825742,
-0.442861922647282,
-0.19520927939099,
-9.713833674752683,
-9.732771857645272,
-9.732... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["check immediately the roller showing severe heating and replace if damaged", "check belt tracking for impact marks and fresh rub marks, then remove contact points", "assess conveyor for short-term debris collision", "respond quickly to abrupt wearing breakdown by disassembling affected components"] | suggested_fix | check immediately the roller showing severe heating and replace if damaged | [
"check immediately the roller showing severe heating and replace if damaged"
] | [
"MCQ_fix"
] | [
"check immediately the roller showing severe heating and replace if damaged",
"check belt tracking for impact marks and fresh rub marks, then remove contact points",
"assess conveyor for short-term debris collision",
"respond quickly to abrupt wearing breakdown by disassembling affected components"
] | 0 |
[
[
0.227096905089464,
-2.772562090491652,
-15.23734680346678,
-15.324723533096803,
-15.313183230594277,
-15.262488245868614,
-8.348186824628367,
-15.285568881581561,
1.562888278581196,
0.6586228857589731,
0.800815660750366,
0.12241001343063201,
0.8420310575387111,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["temperature experiences a sharp increase while vibration persists at baseline values", "vibration shows a slow upward trajectory over several hours, while temperature remains stable around its baseline", "vibration shows a one-off spike and returns to baseline while temperature shows no corresponding change", "vibration subsides, and then both vibration and temperature start to increase concurrently"] | what_happened | temperature experiences a sharp increase while vibration persists at baseline values | [
"temperature experiences a sharp increase while vibration persists at baseline values"
] | [
"MCQ_obs"
] | [
"temperature experiences a sharp increase while vibration persists at baseline values",
"vibration shows a slow upward trajectory over several hours, while temperature remains stable around its baseline",
"vibration shows a one-off spike and returns to baseline while temperature shows no corresponding change",
... | 0 |
[
[
0.227096905089464,
-2.772562090491652,
-15.23734680346678,
-15.324723533096803,
-15.313183230594277,
-15.262488245868614,
-8.348186824628367,
-15.285568881581561,
1.562888278581196,
0.6586228857589731,
0.800815660750366,
0.12241001343063201,
0.8420310575387111,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["a sudden increase in friction along the rolling path with negligible dynamic variation", "rapid structural imbalance with negligible heat change", "transient touch by an external body that does not linger", "foreign object impact that becomes trapped and continuously rubs against the structure"] | how_happened | a sudden increase in friction along the rolling path with negligible dynamic variation | [
"a sudden increase in friction along the rolling path with negligible dynamic variation"
] | [
"MCQ_cause"
] | [
"a sudden increase in friction along the rolling path with negligible dynamic variation",
"rapid structural imbalance with negligible heat change",
"transient touch by an external body that does not linger",
"foreign object impact that becomes trapped and continuously rubs against the structure"
] | 0 |
[
[
0.227096905089464,
-2.772562090491652,
-15.23734680346678,
-15.324723533096803,
-15.313183230594277,
-15.262488245868614,
-8.348186824628367,
-15.285568881581561,
1.562888278581196,
0.6586228857589731,
0.800815660750366,
0.12241001343063201,
0.8420310575387111,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["check for severe structural looseness and secure or repair immediately", "monitor scheduled stop and restart events", "immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty", "inspect gears urgently for severe wear progression and repair"] | suggested_fix | immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty | [
"immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty"
] | [
"MCQ_fix"
] | [
"check for severe structural looseness and secure or repair immediately",
"monitor scheduled stop and restart events",
"immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty",
"inspect gears urgently for severe wear progression and repair"
] | 2 |
[
[
-0.22621804912224203,
-0.201236894563517,
4.442480055518004,
10.465711965922202,
0.04579850761834801,
-0.051349967211169,
0.265077439054049,
0.836868677717275,
0.151274585446068,
2.0942523542158282,
-0.040247875243467006,
-0.034696415650646004,
1.156071400169934... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 154 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration shows a slow increase over an extended period, while temperature does not deviate from its baseline", "a sharp temperature increase appears while vibration stays within its normal range", "both vibration and temperature readings indicate a parallel jump", "a brief spike in vibration occurs and quickly returns to normal, with the temperature remaining stable."] | what_happened | a sharp temperature increase appears while vibration stays within its normal range | [
"a sharp temperature increase appears while vibration stays within its normal range"
] | [
"MCQ_obs"
] | [
"vibration shows a slow increase over an extended period, while temperature does not deviate from its baseline",
"a sharp temperature increase appears while vibration stays within its normal range",
"both vibration and temperature readings indicate a parallel jump",
"a brief spike in vibration occurs and quic... | 1 |
[
[
-0.22621804912224203,
-0.201236894563517,
4.442480055518004,
10.465711965922202,
0.04579850761834801,
-0.051349967211169,
0.265077439054049,
0.836868677717275,
0.151274585446068,
2.0942523542158282,
-0.040247875243467006,
-0.034696415650646004,
1.156071400169934... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 154 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["rapid friction onset across the bearing surface while dynamics maintain baseline", "progressive deterioration of the gear system", "severe gear wear with rapid progression", "slow lubrication depletion with negligible dynamic impact"] | how_happened | rapid friction onset across the bearing surface while dynamics maintain baseline | [
"rapid friction onset across the bearing surface while dynamics maintain baseline"
] | [
"MCQ_cause"
] | [
"rapid friction onset across the bearing surface while dynamics maintain baseline",
"progressive deterioration of the gear system",
"severe gear wear with rapid progression",
"slow lubrication depletion with negligible dynamic impact"
] | 0 |
[
[
-0.22621804912224203,
-0.201236894563517,
4.442480055518004,
10.465711965922202,
0.04579850761834801,
-0.051349967211169,
0.265077439054049,
0.836868677717275,
0.151274585446068,
2.0942523542158282,
-0.040247875243467006,
-0.034696415650646004,
1.156071400169934... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 154 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["take urgent action to investigate abrupt friction surge and verify roller surface condition", "check belt tracking for impact marks and fresh rub marks, then remove contact points", "urgently examine the gears for any signs of rapid wear advancement and carry out necessary repairs", "check conveyor for transient debris contact"] | suggested_fix | take urgent action to investigate abrupt friction surge and verify roller surface condition | [
"take urgent action to investigate abrupt friction surge and verify roller surface condition"
] | [
"MCQ_fix"
] | [
"take urgent action to investigate abrupt friction surge and verify roller surface condition",
"check belt tracking for impact marks and fresh rub marks, then remove contact points",
"urgently examine the gears for any signs of rapid wear advancement and carry out necessary repairs",
"check conveyor for trans... | 0 |
[
[
-2.473897721527389,
-2.112764546558535,
0.414750199755733,
0.019610949207923,
0.33234258026065705,
0.20591484233187202,
-2.520630136540383,
0.149168112445615,
0.6989001774050191,
-2.514579962980762,
0.508423800103406,
0.46273438955546503,
0.664268086195395,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 149 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["a rapid temperature rise is noted while vibration remains stable at its baseline", "vibration ceases, then both vibration and temperature ramp up together", "there is a simultaneous, gradual increase in both vibration and temperature", "vibration and temperature exhibit a parallel jump"] | what_happened | a rapid temperature rise is noted while vibration remains stable at its baseline | [
"a rapid temperature rise is noted while vibration remains stable at its baseline"
] | [
"MCQ_obs"
] | [
"a rapid temperature rise is noted while vibration remains stable at its baseline",
"vibration ceases, then both vibration and temperature ramp up together",
"there is a simultaneous, gradual increase in both vibration and temperature",
"vibration and temperature exhibit a parallel jump"
] | 0 |
[
[
-2.473897721527389,
-2.112764546558535,
0.414750199755733,
0.019610949207923,
0.33234258026065705,
0.20591484233187202,
-2.520630136540383,
0.149168112445615,
0.6989001774050191,
-2.514579962980762,
0.508423800103406,
0.46273438955546503,
0.664268086195395,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 149 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["lubrication degradation with minimal dynamic variation", "scheduled maintenance stop followed by system recovery with load engagement", "a sudden increase in friction along the rolling path with negligible dynamic variation", "foreign body collision that remains trapped and creates ongoing contact friction"] | how_happened | a sudden increase in friction along the rolling path with negligible dynamic variation | [
"a sudden increase in friction along the rolling path with negligible dynamic variation"
] | [
"MCQ_cause"
] | [
"lubrication degradation with minimal dynamic variation",
"scheduled maintenance stop followed by system recovery with load engagement",
"a sudden increase in friction along the rolling path with negligible dynamic variation",
"foreign body collision that remains trapped and creates ongoing contact friction"
... | 2 |
[
[
-2.473897721527389,
-2.112764546558535,
0.414750199755733,
0.019610949207923,
0.33234258026065705,
0.20591484233187202,
-2.520630136540383,
0.149168112445615,
0.6989001774050191,
-2.514579962980762,
0.508423800103406,
0.46273438955546503,
0.664268086195395,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 149 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["detect short-lived contact with external objects", "immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty", "inspect the roller for strike damage and surface drag", "assess the quality of splice rework and confirm that the belt joint is balanced"] | suggested_fix | immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty | [
"immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty"
] | [
"MCQ_fix"
] | [
"detect short-lived contact with external objects",
"immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty",
"inspect the roller for strike damage and surface drag",
"assess the quality of splice rework and confirm that the belt joint is balanced"
] | 1 |
[
[
-7.7550296917506305,
0.549704087633726,
3.690873600245856,
4.325562004588216,
0.678794124032392,
-9.222342675414827,
1.057455580538809,
0.8035804752789301,
0.033347789195036004,
-1.2338765357209551,
0.941275317211204,
-9.850576513817987,
-1.864261896103848,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 164 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["a transient spike in vibration is observed, which quickly subsides while the temperature remains unaffected.", "both vibration and temperature show a sudden simultaneous increase", "temperature elevates slowly, whereas vibration continues to operate within normal bounds", "a rapid temperature rise is noted while vibration remains stable at its baseline"] | what_happened | a rapid temperature rise is noted while vibration remains stable at its baseline | [
"a rapid temperature rise is noted while vibration remains stable at its baseline"
] | [
"MCQ_obs"
] | [
"a transient spike in vibration is observed, which quickly subsides while the temperature remains unaffected.",
"both vibration and temperature show a sudden simultaneous increase",
"temperature elevates slowly, whereas vibration continues to operate within normal bounds",
"a rapid temperature rise is noted w... | 3 |
[
[
-7.7550296917506305,
0.549704087633726,
3.690873600245856,
4.325562004588216,
0.678794124032392,
-9.222342675414827,
1.057455580538809,
0.8035804752789301,
0.033347789195036004,
-1.2338765357209551,
0.941275317211204,
-9.850576513817987,
-1.864261896103848,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 164 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["slow alignment drift with increasing dynamics", "rapid friction onset across the bearing surface while dynamics maintain baseline", "progressive frictional losses without dynamic excitation", "external object strike that subsequently lodges and maintains continuous friction"] | how_happened | rapid friction onset across the bearing surface while dynamics maintain baseline | [
"rapid friction onset across the bearing surface while dynamics maintain baseline"
] | [
"MCQ_cause"
] | [
"slow alignment drift with increasing dynamics",
"rapid friction onset across the bearing surface while dynamics maintain baseline",
"progressive frictional losses without dynamic excitation",
"external object strike that subsequently lodges and maintains continuous friction"
] | 1 |
[
[
-7.7550296917506305,
0.549704087633726,
3.690873600245856,
4.325562004588216,
0.678794124032392,
-9.222342675414827,
1.057455580538809,
0.8035804752789301,
0.033347789195036004,
-1.2338765357209551,
0.941275317211204,
-9.850576513817987,
-1.864261896103848,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 164 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["record restart events alongside immediate load activation", "assess the quality of splice rework and confirm that the belt joint is balanced", "stop machine operation immediately and substitute the bearing that shows an abrupt wear shift", "immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty"] | suggested_fix | immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty | [
"immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty"
] | [
"MCQ_fix"
] | [
"record restart events alongside immediate load activation",
"assess the quality of splice rework and confirm that the belt joint is balanced",
"stop machine operation immediately and substitute the bearing that shows an abrupt wear shift",
"immediately evaluate for sudden lubrication breakdown and change the... | 3 |
[
[
1.674744351666632,
-0.8748250246337401,
-0.9702217321663321,
-0.055118921350622005,
0.258631504307252,
0.308802257421942,
0.9136901315287401,
-0.38724091681739403,
-0.404907410559985,
-0.643752981001799,
-0.23389908697545303,
0.094689946696714,
0.421865458697126... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["a rapid temperature rise is noted while vibration remains stable at its baseline", "vibration pauses, after which both vibration and temperature increase simultaneously", "vibration shows a slow upward trajectory over several hours, while temperature remains stable around its baseline", "temperature shows a gradual rise while vibration remains within its normal band"] | what_happened | a rapid temperature rise is noted while vibration remains stable at its baseline | [
"a rapid temperature rise is noted while vibration remains stable at its baseline"
] | [
"MCQ_obs"
] | [
"a rapid temperature rise is noted while vibration remains stable at its baseline",
"vibration pauses, after which both vibration and temperature increase simultaneously",
"vibration shows a slow upward trajectory over several hours, while temperature remains stable around its baseline",
"temperature shows a ... | 0 |
[
[
1.674744351666632,
-0.8748250246337401,
-0.9702217321663321,
-0.055118921350622005,
0.258631504307252,
0.308802257421942,
0.9136901315287401,
-0.38724091681739403,
-0.404907410559985,
-0.643752981001799,
-0.23389908697545303,
0.094689946696714,
0.421865458697126... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["severe structural looseness without heat generation", "sudden product jam creating immediate dynamics change and friction surge", "planned shutdown followed by controlled restart and load application", "rapid friction onset across the bearing surface while dynamics maintain baseline"] | how_happened | rapid friction onset across the bearing surface while dynamics maintain baseline | [
"rapid friction onset across the bearing surface while dynamics maintain baseline"
] | [
"MCQ_cause"
] | [
"severe structural looseness without heat generation",
"sudden product jam creating immediate dynamics change and friction surge",
"planned shutdown followed by controlled restart and load application",
"rapid friction onset across the bearing surface while dynamics maintain baseline"
] | 3 |
[
[
1.674744351666632,
-0.8748250246337401,
-0.9702217321663321,
-0.055118921350622005,
0.258631504307252,
0.308802257421942,
0.9136901315287401,
-0.38724091681739403,
-0.404907410559985,
-0.643752981001799,
-0.23389908697545303,
0.094689946696714,
0.421865458697126... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["confirm belt tension has been readjusted", "take urgent action to investigate abrupt friction surge and verify roller surface condition", "immediately look for any severe structural looseness and secure or repair as needed", "observe for a fleeting strike by a foreign object"] | suggested_fix | take urgent action to investigate abrupt friction surge and verify roller surface condition | [
"take urgent action to investigate abrupt friction surge and verify roller surface condition"
] | [
"MCQ_fix"
] | [
"confirm belt tension has been readjusted",
"take urgent action to investigate abrupt friction surge and verify roller surface condition",
"immediately look for any severe structural looseness and secure or repair as needed",
"observe for a fleeting strike by a foreign object"
] | 1 |
[
[
-0.157577348645133,
-0.396152769028885,
0.194394933277685,
-0.044180487106066,
-0.5257492449156761,
-0.37700773035475704,
1.340145245973978,
-4.9997730873363775,
-4.914357208279402,
-0.462423719135482,
-0.030926297084746004,
-0.805559728079089,
10.0982163534748,... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration climbs rapidly with temperature remaining consistent", "a singular spike in vibration is followed by a notable rise in temperature", "a rapid temperature rise is noted while vibration remains stable at its baseline", "vibration drops to a low level then both vibration and temperature rise together"] | what_happened | a rapid temperature rise is noted while vibration remains stable at its baseline | [
"a rapid temperature rise is noted while vibration remains stable at its baseline"
] | [
"MCQ_obs"
] | [
"vibration climbs rapidly with temperature remaining consistent",
"a singular spike in vibration is followed by a notable rise in temperature",
"a rapid temperature rise is noted while vibration remains stable at its baseline",
"vibration drops to a low level then both vibration and temperature rise together"... | 2 |
[
[
-0.157577348645133,
-0.396152769028885,
0.194394933277685,
-0.044180487106066,
-0.5257492449156761,
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1.340145245973978,
-4.9997730873363775,
-4.914357208279402,
-0.462423719135482,
-0.030926297084746004,
-0.805559728079089,
10.0982163534748,... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["progressive structural looseness", "gradual lubrication loss with little dynamics change", "immediate thermal surge in the rolling contact with negligible dynamic response", "immediate alignment deviation with no thermal response"] | how_happened | immediate thermal surge in the rolling contact with negligible dynamic response | [
"immediate thermal surge in the rolling contact with negligible dynamic response"
] | [
"MCQ_cause"
] | [
"progressive structural looseness",
"gradual lubrication loss with little dynamics change",
"immediate thermal surge in the rolling contact with negligible dynamic response",
"immediate alignment deviation with no thermal response"
] | 2 |
[
[
-0.157577348645133,
-0.396152769028885,
0.194394933277685,
-0.044180487106066,
-0.5257492449156761,
-0.37700773035475704,
1.340145245973978,
-4.9997730873363775,
-4.914357208279402,
-0.462423719135482,
-0.030926297084746004,
-0.805559728079089,
10.0982163534748,... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["keep tracking gradual misalignment and organize a precision alignment evaluation", "check for an item that might have impacted and gotten stuck, then clear the conveyor passage to eliminate drag", "urgently assess the roller for significant heating and replace it if it's compromised", "continue monitoring early heat accumulation and plan inspection"] | suggested_fix | urgently assess the roller for significant heating and replace it if it's compromised | [
"urgently assess the roller for significant heating and replace it if it's compromised"
] | [
"MCQ_fix"
] | [
"keep tracking gradual misalignment and organize a precision alignment evaluation",
"check for an item that might have impacted and gotten stuck, then clear the conveyor passage to eliminate drag",
"urgently assess the roller for significant heating and replace it if it's compromised",
"continue monitoring ea... | 2 |
[
[
-0.165473487384517,
-0.5708062900486971,
-0.8590471199017311,
0.21337013252402,
0.6819509435731581,
-0.539019373850792,
0.9114846794203181,
-0.239317993742645,
-0.23899371636475603,
-1.087175224157773,
-0.37814067522689904,
-0.335110252933009,
-0.94467645389286,... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 166 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["temperature and vibration experience a sharp concurrent rise", "vibration experiences an isolated spike before temperature significantly rises", "vibration subsides, and then both vibration and temperature start to increase concurrently", "temperature increases slowly, while vibration continues to follow typical patterns"] | what_happened | temperature and vibration experience a sharp concurrent rise | [
"temperature and vibration experience a sharp concurrent rise"
] | [
"MCQ_obs"
] | [
"temperature and vibration experience a sharp concurrent rise",
"vibration experiences an isolated spike before temperature significantly rises",
"vibration subsides, and then both vibration and temperature start to increase concurrently",
"temperature increases slowly, while vibration continues to follow typ... | 0 |
[
[
-0.165473487384517,
-0.5708062900486971,
-0.8590471199017311,
0.21337013252402,
0.6819509435731581,
-0.539019373850792,
0.9114846794203181,
-0.239317993742645,
-0.23899371636475603,
-1.087175224157773,
-0.37814067522689904,
-0.335110252933009,
-0.94467645389286,... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 166 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["foreign body collision that remains trapped and creates ongoing contact friction", "modifications in operational conditions from belt tension adjustment", "rapid deterioration of gear or bearing due to wear", "brief foreign object strike that passes through"] | how_happened | rapid deterioration of gear or bearing due to wear | [
"rapid deterioration of gear or bearing due to wear"
] | [
"MCQ_cause"
] | [
"foreign body collision that remains trapped and creates ongoing contact friction",
"modifications in operational conditions from belt tension adjustment",
"rapid deterioration of gear or bearing due to wear",
"brief foreign object strike that passes through"
] | 2 |
[
[
-0.165473487384517,
-0.5708062900486971,
-0.8590471199017311,
0.21337013252402,
0.6819509435731581,
-0.539019373850792,
0.9114846794203181,
-0.239317993742645,
-0.23899371636475603,
-1.087175224157773,
-0.37814067522689904,
-0.335110252933009,
-0.94467645389286,... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 166 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["immediately stop the machine and replace the bearing showing sudden wear transition", "assess the quality of splice rework and confirm that the belt joint is balanced", "take urgent action to investigate abrupt friction surge and verify roller surface condition", "examine for any object that could have struck and become lodged, then clear the conveyor route to stop friction"] | suggested_fix | immediately stop the machine and replace the bearing showing sudden wear transition | [
"immediately stop the machine and replace the bearing showing sudden wear transition"
] | [
"MCQ_fix"
] | [
"immediately stop the machine and replace the bearing showing sudden wear transition",
"assess the quality of splice rework and confirm that the belt joint is balanced",
"take urgent action to investigate abrupt friction surge and verify roller surface condition",
"examine for any object that could have struc... | 0 |
[
[
-9.367386555652962,
-9.253664241616118,
2.900899517227222,
0.35489136955237405,
-9.261507183753393,
0.480379028091781,
-9.386013511272733,
0.290188238214765,
-9.281114447792989,
1.652894805474236,
0.309795283125737,
1.123497580762027,
-9.403660085429806,
0.6... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration climbs slowly over time while temperature shows no clear trend", "vibration and temperature increase sharply in parallel", "vibration halts, followed by a concurrent rise in both vibration and temperature", "there is a concurrent jump in vibration and temperature"] | what_happened | vibration and temperature increase sharply in parallel | [
"vibration and temperature increase sharply in parallel"
] | [
"MCQ_obs"
] | [
"vibration climbs slowly over time while temperature shows no clear trend",
"vibration and temperature increase sharply in parallel",
"vibration halts, followed by a concurrent rise in both vibration and temperature",
"there is a concurrent jump in vibration and temperature"
] | 1 |
[
[
-9.367386555652962,
-9.253664241616118,
2.900899517227222,
0.35489136955237405,
-9.261507183753393,
0.480379028091781,
-9.386013511272733,
0.290188238214765,
-9.281114447792989,
1.652894805474236,
0.309795283125737,
1.123497580762027,
-9.403660085429806,
0.6... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["adjustment of belt tension affecting operational conditions", "quick hit from a foreign object that exits immediately", "rapid deterioration of gear or bearing due to wear", "a sudden increase in friction along the rolling path with negligible dynamic variation"] | how_happened | rapid deterioration of gear or bearing due to wear | [
"rapid deterioration of gear or bearing due to wear"
] | [
"MCQ_cause"
] | [
"adjustment of belt tension affecting operational conditions",
"quick hit from a foreign object that exits immediately",
"rapid deterioration of gear or bearing due to wear",
"a sudden increase in friction along the rolling path with negligible dynamic variation"
] | 2 |
[
[
-9.367386555652962,
-9.253664241616118,
2.900899517227222,
0.35489136955237405,
-9.261507183753393,
0.480379028091781,
-9.386013511272733,
0.290188238214765,
-9.281114447792989,
1.652894805474236,
0.309795283125737,
1.123497580762027,
-9.403660085429806,
0.6... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["immediately inspect for unexpected imbalance and carry out necessary balancing corrections", "quickly address product obstruction and verify the conveyor route", "inspect for an object that may have struck and lodged, then clear the conveyor path to stop rubbing", "stop machine operation immediately and substitute the bearing that shows an abrupt wear shift"] | suggested_fix | stop machine operation immediately and substitute the bearing that shows an abrupt wear shift | [
"stop machine operation immediately and substitute the bearing that shows an abrupt wear shift"
] | [
"MCQ_fix"
] | [
"immediately inspect for unexpected imbalance and carry out necessary balancing corrections",
"quickly address product obstruction and verify the conveyor route",
"inspect for an object that may have struck and lodged, then clear the conveyor path to stop rubbing",
"stop machine operation immediately and subs... | 3 |
[
[
-0.187358854505591,
0.44966097162753504,
0,
0,
-0.187358854505591,
0,
0,
-0.187358854505591,
-0.6744907594765951,
-0.187358854505591,
0.44966097162753504,
-0.187358854505591,
0.44966097162753504,
-0.187358854505591,
0.44966097162753504,
-0.6744907594... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 142 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["temperature and vibration experience a sharp concurrent rise", "a one-time spike in vibration is followed by a notable increase in temperature", "a rapid transition yields a different sustained vibration level", "vibration experiences a sudden but brief spike, reverting to normal as the temperature stays constant."] | what_happened | temperature and vibration experience a sharp concurrent rise | [
"temperature and vibration experience a sharp concurrent rise"
] | [
"MCQ_obs"
] | [
"temperature and vibration experience a sharp concurrent rise",
"a one-time spike in vibration is followed by a notable increase in temperature",
"a rapid transition yields a different sustained vibration level",
"vibration experiences a sudden but brief spike, reverting to normal as the temperature stays con... | 0 |
[
[
-0.187358854505591,
0.44966097162753504,
0,
0,
-0.187358854505591,
0,
0,
-0.187358854505591,
-0.6744907594765951,
-0.187358854505591,
0.44966097162753504,
-0.187358854505591,
0.44966097162753504,
-0.187358854505591,
0.44966097162753504,
-0.6744907594... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 142 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["quick onset of wear in bearings or gears", "sudden belt strike against structure causing immediate friction spike and dynamic shock", "momentary looseness slap that settles quickly", "transient touch by an external body that does not linger"] | how_happened | quick onset of wear in bearings or gears | [
"quick onset of wear in bearings or gears"
] | [
"MCQ_cause"
] | [
"quick onset of wear in bearings or gears",
"sudden belt strike against structure causing immediate friction spike and dynamic shock",
"momentary looseness slap that settles quickly",
"transient touch by an external body that does not linger"
] | 0 |
[
[
-0.187358854505591,
0.44966097162753504,
0,
0,
-0.187358854505591,
0,
0,
-0.187358854505591,
-0.6744907594765951,
-0.187358854505591,
0.44966097162753504,
-0.187358854505591,
0.44966097162753504,
-0.187358854505591,
0.44966097162753504,
-0.6744907594... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 142 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["review and verify that the splice rework is of high quality and the belt joint is balanced", "monitor for any gradual alignment shifts and prepare for an accuracy alignment review", "record restart events alongside immediate load activation", "inspect gears urgently for severe wear progression and repair"] | suggested_fix | inspect gears urgently for severe wear progression and repair | [
"inspect gears urgently for severe wear progression and repair"
] | [
"MCQ_fix"
] | [
"review and verify that the splice rework is of high quality and the belt joint is balanced",
"monitor for any gradual alignment shifts and prepare for an accuracy alignment review",
"record restart events alongside immediate load activation",
"inspect gears urgently for severe wear progression and repair"
] | 3 |
[
[
-9.179842830381471,
1.037344322124224,
0.851577504063023,
1.5807564517841102,
-9.349984636590744,
0.700533049541704,
0.40538882017112304,
0.592892066855436,
-9.065257556080795,
-0.18837146099586902,
1.620687066372936,
-9.389915768589766,
0.07725865588377101,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 166 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["temperature ascends gradually, with vibration staying within its usual range", "a one-time spike in vibration is followed by a notable increase in temperature", "vibration and temperature both show parallel gradual increases", "a parallel sharp rise is detected in both temperature and vibration"] | what_happened | a parallel sharp rise is detected in both temperature and vibration | [
"a parallel sharp rise is detected in both temperature and vibration"
] | [
"MCQ_obs"
] | [
"temperature ascends gradually, with vibration staying within its usual range",
"a one-time spike in vibration is followed by a notable increase in temperature",
"vibration and temperature both show parallel gradual increases",
"a parallel sharp rise is detected in both temperature and vibration"
] | 3 |
[
[
-9.179842830381471,
1.037344322124224,
0.851577504063023,
1.5807564517841102,
-9.349984636590744,
0.700533049541704,
0.40538882017112304,
0.592892066855436,
-9.065257556080795,
-0.18837146099586902,
1.620687066372936,
-9.389915768589766,
0.07725865588377101,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 166 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["immediate thermal surge in the rolling contact with negligible dynamic response", "rapid deterioration of gear or bearing due to wear", "initial contact shock followed by sustained belt rubbing against structure", "sudden mechanical imbalance occurrence without corresponding heat buildup"] | how_happened | rapid deterioration of gear or bearing due to wear | [
"rapid deterioration of gear or bearing due to wear"
] | [
"MCQ_cause"
] | [
"immediate thermal surge in the rolling contact with negligible dynamic response",
"rapid deterioration of gear or bearing due to wear",
"initial contact shock followed by sustained belt rubbing against structure",
"sudden mechanical imbalance occurrence without corresponding heat buildup"
] | 1 |
[
[
-9.179842830381471,
1.037344322124224,
0.851577504063023,
1.5807564517841102,
-9.349984636590744,
0.700533049541704,
0.40538882017112304,
0.592892066855436,
-9.065257556080795,
-0.18837146099586902,
1.620687066372936,
-9.389915768589766,
0.07725865588377101,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 166 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["quickly inspect for any abrupt lubrication loss and replace the bearing if it's impaired", "immediately assess for any drastic imbalance and proceed with corrective balancing", "stop machine operation immediately and substitute the bearing that shows an abrupt wear shift", "maintain observation of incremental imbalance formation and arrange for balancing service"] | suggested_fix | stop machine operation immediately and substitute the bearing that shows an abrupt wear shift | [
"stop machine operation immediately and substitute the bearing that shows an abrupt wear shift"
] | [
"MCQ_fix"
] | [
"quickly inspect for any abrupt lubrication loss and replace the bearing if it's impaired",
"immediately assess for any drastic imbalance and proceed with corrective balancing",
"stop machine operation immediately and substitute the bearing that shows an abrupt wear shift",
"maintain observation of incrementa... | 2 |
[
[
-22.110786880781067,
2.051761543081047,
0.9082543712118061,
0.6253546248711941,
-0.15931659032299703,
0.7980721405372101,
-22.10334221192029,
0.037222623227607006,
0.399035182790105,
0.7400044223124631,
0.454126298127403,
-0.40350452451377705,
-0.680447515165491... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["there is an abrupt simultaneous jump in temperature and vibration", "an isolated vibration spike occurs before a pronounced increase in temperature readings", "a coordinated, gentle rise appears in vibration and temperature", "vibration halts, followed by a concurrent rise in both vibration and temperature"] | what_happened | there is an abrupt simultaneous jump in temperature and vibration | [
"there is an abrupt simultaneous jump in temperature and vibration"
] | [
"MCQ_obs"
] | [
"there is an abrupt simultaneous jump in temperature and vibration",
"an isolated vibration spike occurs before a pronounced increase in temperature readings",
"a coordinated, gentle rise appears in vibration and temperature",
"vibration halts, followed by a concurrent rise in both vibration and temperature"
... | 0 |
[
[
-22.110786880781067,
2.051761543081047,
0.9082543712118061,
0.6253546248711941,
-0.15931659032299703,
0.7980721405372101,
-22.10334221192029,
0.037222623227607006,
0.399035182790105,
0.7400044223124631,
0.454126298127403,
-0.40350452451377705,
-0.680447515165491... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["temporary debris impact with no sticking", "system halt followed by reactivation with immediate operational capacity", "quick onset of wear in bearings or gears", "steady alignment shift due to heightened dynamics"] | how_happened | quick onset of wear in bearings or gears | [
"quick onset of wear in bearings or gears"
] | [
"MCQ_cause"
] | [
"temporary debris impact with no sticking",
"system halt followed by reactivation with immediate operational capacity",
"quick onset of wear in bearings or gears",
"steady alignment shift due to heightened dynamics"
] | 2 |
[
[
-22.110786880781067,
2.051761543081047,
0.9082543712118061,
0.6253546248711941,
-0.15931659032299703,
0.7980721405372101,
-22.10334221192029,
0.037222623227607006,
0.399035182790105,
0.7400044223124631,
0.454126298127403,
-0.40350452451377705,
-0.680447515165491... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["keep tracking gradual misalignment and organize a precision alignment evaluation", "continue observing gradual gear wear and arrange for a gear examination", "immediately stop the machine to replace the bearing that exhibits a rapid transition in wear", "monitor restart with immediate load application"] | suggested_fix | immediately stop the machine to replace the bearing that exhibits a rapid transition in wear | [
"immediately stop the machine to replace the bearing that exhibits a rapid transition in wear"
] | [
"MCQ_fix"
] | [
"keep tracking gradual misalignment and organize a precision alignment evaluation",
"continue observing gradual gear wear and arrange for a gear examination",
"immediately stop the machine to replace the bearing that exhibits a rapid transition in wear",
"monitor restart with immediate load application"
] | 2 |
[
[
-4.326827633883394,
0.939304162636948,
-0.859166804302078,
0.9533452347343291,
-0.7762896548804891,
-1.303519399158927,
-4.321690608522345,
0.8608790206361121,
-0.592555451514857,
-1.431088701754372,
-0.144778628116829,
-0.8730368180675661,
-4.324601591899227,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["a parallel jump is detected in both vibration and temperature readings", "vibration gradually rises, and temperature continues to exhibit baseline-level fluctuations", "a coordinated abrupt increase is noted in both temperature and vibration", "temperature elevates slowly, whereas vibration continues to operate within normal bounds"] | what_happened | a coordinated abrupt increase is noted in both temperature and vibration | [
"a coordinated abrupt increase is noted in both temperature and vibration"
] | [
"MCQ_obs"
] | [
"a parallel jump is detected in both vibration and temperature readings",
"vibration gradually rises, and temperature continues to exhibit baseline-level fluctuations",
"a coordinated abrupt increase is noted in both temperature and vibration",
"temperature elevates slowly, whereas vibration continues to oper... | 2 |
[
[
-4.326827633883394,
0.939304162636948,
-0.859166804302078,
0.9533452347343291,
-0.7762896548804891,
-1.303519399158927,
-4.321690608522345,
0.8608790206361121,
-0.592555451514857,
-1.431088701754372,
-0.144778628116829,
-0.8730368180675661,
-4.324601591899227,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["abrupt wear-related breakdown in bearing or gear", "a sudden increase in friction along the rolling path with negligible dynamic variation", "foreign object impact that becomes trapped and continuously rubs against the structure", "belt replacement or resetting required after maintenance"] | how_happened | abrupt wear-related breakdown in bearing or gear | [
"abrupt wear-related breakdown in bearing or gear"
] | [
"MCQ_cause"
] | [
"abrupt wear-related breakdown in bearing or gear",
"a sudden increase in friction along the rolling path with negligible dynamic variation",
"foreign object impact that becomes trapped and continuously rubs against the structure",
"belt replacement or resetting required after maintenance"
] | 0 |
[
[
-4.326827633883394,
0.939304162636948,
-0.859166804302078,
0.9533452347343291,
-0.7762896548804891,
-1.303519399158927,
-4.321690608522345,
0.8608790206361121,
-0.592555451514857,
-1.431088701754372,
-0.144778628116829,
-0.8730368180675661,
-4.324601591899227,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["immediately check for roller lock-up when under load", "detect short-lived contact with external objects", "check for an item that might have impacted and gotten stuck, then clear the conveyor passage to eliminate drag", "stop machine operation immediately and substitute the bearing that shows an abrupt wear shift"] | suggested_fix | stop machine operation immediately and substitute the bearing that shows an abrupt wear shift | [
"stop machine operation immediately and substitute the bearing that shows an abrupt wear shift"
] | [
"MCQ_fix"
] | [
"immediately check for roller lock-up when under load",
"detect short-lived contact with external objects",
"check for an item that might have impacted and gotten stuck, then clear the conveyor passage to eliminate drag",
"stop machine operation immediately and substitute the bearing that shows an abrupt wear... | 3 |
[
[
-0.6744907594765951,
-0.835268941931659,
0.578967862251279,
-0.728083431791066,
-0.5972949672709871,
-0.740023773255274,
-0.6267293936197621,
0.028601240701983003,
-2.449159418743182,
-2.449159418743182,
-1.019372350217279,
-0.8563728359057211,
-0.95022936183745... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["there is a concurrent jump in vibration and temperature", "both vibration and temperature gradually rise in a coordinated manner", "both vibration and temperature show a sudden simultaneous increase", "temperature increases slowly, while vibration continues to follow typical patterns"] | what_happened | both vibration and temperature show a sudden simultaneous increase | [
"both vibration and temperature show a sudden simultaneous increase"
] | [
"MCQ_obs"
] | [
"there is a concurrent jump in vibration and temperature",
"both vibration and temperature gradually rise in a coordinated manner",
"both vibration and temperature show a sudden simultaneous increase",
"temperature increases slowly, while vibration continues to follow typical patterns"
] | 2 |
[
[
-0.6744907594765951,
-0.835268941931659,
0.578967862251279,
-0.728083431791066,
-0.5972949672709871,
-0.740023773255274,
-0.6267293936197621,
0.028601240701983003,
-2.449159418743182,
-2.449159418743182,
-1.019372350217279,
-0.8563728359057211,
-0.95022936183745... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["gradual misalignment with rising dynamic conditions", "sudden bearing wear transition", "scheduled maintenance stop followed by system recovery with load engagement", "sudden mechanical imbalance occurrence without corresponding heat buildup"] | how_happened | sudden bearing wear transition | [
"sudden bearing wear transition"
] | [
"MCQ_cause"
] | [
"gradual misalignment with rising dynamic conditions",
"sudden bearing wear transition",
"scheduled maintenance stop followed by system recovery with load engagement",
"sudden mechanical imbalance occurrence without corresponding heat buildup"
] | 1 |
[
[
-0.6744907594765951,
-0.835268941931659,
0.578967862251279,
-0.728083431791066,
-0.5972949672709871,
-0.740023773255274,
-0.6267293936197621,
0.028601240701983003,
-2.449159418743182,
-2.449159418743182,
-1.019372350217279,
-0.8563728359057211,
-0.95022936183745... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["immediately stop the machine to replace the bearing that exhibits a rapid transition in wear", "immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty", "immediately check for a sudden alignment change and ensure proper machine alignment", "keep track of planned stop and restart occurrences"] | suggested_fix | immediately stop the machine to replace the bearing that exhibits a rapid transition in wear | [
"immediately stop the machine to replace the bearing that exhibits a rapid transition in wear"
] | [
"MCQ_fix"
] | [
"immediately stop the machine to replace the bearing that exhibits a rapid transition in wear",
"immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty",
"immediately check for a sudden alignment change and ensure proper machine alignment",
"keep track of planned stop and... | 0 |
[
[
-1.659800869019778,
-1.912223303310059,
-1.912223303310059,
-0.053908185626534,
0.028560315470548003,
0.180119368344748,
0.045546888611439004,
-1.064214158204716,
-1.742709483938249,
-1.720442095771515,
-1.746406043964324,
-0.065614127351853,
-1.856950883528147,... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration stabilizes within a different consistent range", "vibration and temperature both rise sharply", "both vibration and temperature increase slowly and concurrently", "a transient spike in vibration is observed, which quickly subsides while the temperature remains unaffected."] | what_happened | both vibration and temperature increase slowly and concurrently | [
"both vibration and temperature increase slowly and concurrently"
] | [
"MCQ_obs"
] | [
"vibration stabilizes within a different consistent range",
"vibration and temperature both rise sharply",
"both vibration and temperature increase slowly and concurrently",
"a transient spike in vibration is observed, which quickly subsides while the temperature remains unaffected."
] | 2 |
[
[
-1.659800869019778,
-1.912223303310059,
-1.912223303310059,
-0.053908185626534,
0.028560315470548003,
0.180119368344748,
0.045546888611439004,
-1.064214158204716,
-1.742709483938249,
-1.720442095771515,
-1.746406043964324,
-0.065614127351853,
-1.856950883528147,... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["abrupt roller lock-up under load with instantaneous loss surge and excitation", "a sudden increase in friction along the rolling path with negligible dynamic variation", "sudden bearing wear transition", "temporary debris impact with no sticking"] | how_happened | sudden bearing wear transition | [
"sudden bearing wear transition"
] | [
"MCQ_cause"
] | [
"abrupt roller lock-up under load with instantaneous loss surge and excitation",
"a sudden increase in friction along the rolling path with negligible dynamic variation",
"sudden bearing wear transition",
"temporary debris impact with no sticking"
] | 2 |
[
[
-1.659800869019778,
-1.912223303310059,
-1.912223303310059,
-0.053908185626534,
0.028560315470548003,
0.180119368344748,
0.045546888611439004,
-1.064214158204716,
-1.742709483938249,
-1.720442095771515,
-1.746406043964324,
-0.065614127351853,
-1.856950883528147,... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["continue observing gradual gear wear and arrange for a gear examination", "monitor slow alignment drift and plan a precision alignment check", "verify belt replacement or reset was performed correctly", "inspect gears urgently for severe wear progression and repair"] | suggested_fix | inspect gears urgently for severe wear progression and repair | [
"inspect gears urgently for severe wear progression and repair"
] | [
"MCQ_fix"
] | [
"continue observing gradual gear wear and arrange for a gear examination",
"monitor slow alignment drift and plan a precision alignment check",
"verify belt replacement or reset was performed correctly",
"inspect gears urgently for severe wear progression and repair"
] | 3 |
[
[
-0.47511760878128,
-0.672838495154456,
3.599272815289024,
-0.664301798436428,
-0.6593450088895451,
-0.037910271748923,
4.138094271351548,
-0.6711862308323171,
-0.672838495154456,
-0.6755922667449981,
4.139104046189436,
3.757155728932185,
3.999579600697796,
3... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration reaches a new steady band", "vibration and temperature both rise sharply", "both vibration and temperature gradually rise in a coordinated manner", "there is a temporary spike in vibration that normalizes as the temperature continues at its usual level."] | what_happened | both vibration and temperature gradually rise in a coordinated manner | [
"both vibration and temperature gradually rise in a coordinated manner"
] | [
"MCQ_obs"
] | [
"vibration reaches a new steady band",
"vibration and temperature both rise sharply",
"both vibration and temperature gradually rise in a coordinated manner",
"there is a temporary spike in vibration that normalizes as the temperature continues at its usual level."
] | 2 |
[
[
-0.47511760878128,
-0.672838495154456,
3.599272815289024,
-0.664301798436428,
-0.6593450088895451,
-0.037910271748923,
4.138094271351548,
-0.6711862308323171,
-0.672838495154456,
-0.6755922667449981,
4.139104046189436,
3.757155728932185,
3.999579600697796,
3... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["slow degradation caused by gear wear", "immediate belt contact impact with structure causing sharp friction and dynamic spike", "slow alignment drift with increasing dynamics", "short encounter with an alien object that quickly departs"] | how_happened | slow degradation caused by gear wear | [
"slow degradation caused by gear wear"
] | [
"MCQ_cause"
] | [
"slow degradation caused by gear wear",
"immediate belt contact impact with structure causing sharp friction and dynamic spike",
"slow alignment drift with increasing dynamics",
"short encounter with an alien object that quickly departs"
] | 0 |
[
[
-0.47511760878128,
-0.672838495154456,
3.599272815289024,
-0.664301798436428,
-0.6593450088895451,
-0.037910271748923,
4.138094271351548,
-0.6711862308323171,
-0.672838495154456,
-0.6755922667449981,
4.139104046189436,
3.757155728932185,
3.999579600697796,
3... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["monitor restart with immediate load application", "stop machine operation immediately and substitute the bearing that shows an abrupt wear shift", "keep tracking the progressive deterioration due to wear and schedule an evaluation", "immediately scrutinize the roller for intense heat and substitute it if it shows damage"] | suggested_fix | keep tracking the progressive deterioration due to wear and schedule an evaluation | [
"keep tracking the progressive deterioration due to wear and schedule an evaluation"
] | [
"MCQ_fix"
] | [
"monitor restart with immediate load application",
"stop machine operation immediately and substitute the bearing that shows an abrupt wear shift",
"keep tracking the progressive deterioration due to wear and schedule an evaluation",
"immediately scrutinize the roller for intense heat and substitute it if it ... | 2 |
[
[
0.576301971866642,
0.625869074263905,
-2.575192502879813,
-2.572356241263329,
0.8692473435155951,
0.708390856527069,
0.91368227319906,
0.595750645951718,
0.30807236861068305,
0.441241592049802,
0.012155501805317001,
-0.39383548921850103,
0.309422872586192,
0... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 163 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["both vibration and temperature show a sudden simultaneous increase", "temperature shows a gradual rise while vibration remains within its normal band", "vibration experiences a sudden but brief spike, reverting to normal as the temperature stays constant.", "temperature and vibration show a coordinated, slow increase"] | what_happened | temperature and vibration show a coordinated, slow increase | [
"temperature and vibration show a coordinated, slow increase"
] | [
"MCQ_obs"
] | [
"both vibration and temperature show a sudden simultaneous increase",
"temperature shows a gradual rise while vibration remains within its normal band",
"vibration experiences a sudden but brief spike, reverting to normal as the temperature stays constant.",
"temperature and vibration show a coordinated, slow... | 3 |
[
[
0.576301971866642,
0.625869074263905,
-2.575192502879813,
-2.572356241263329,
0.8692473435155951,
0.708390856527069,
0.91368227319906,
0.595750645951718,
0.30807236861068305,
0.441241592049802,
0.012155501805317001,
-0.39383548921850103,
0.309422872586192,
0... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 163 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["abrupt wear-related breakdown in bearing or gear", "slow wearing-related deterioration in bearing and gear", "gradual misalignment with rising dynamic conditions", "system halt followed by reactivation with immediate operational capacity"] | how_happened | slow wearing-related deterioration in bearing and gear | [
"slow wearing-related deterioration in bearing and gear"
] | [
"MCQ_cause"
] | [
"abrupt wear-related breakdown in bearing or gear",
"slow wearing-related deterioration in bearing and gear",
"gradual misalignment with rising dynamic conditions",
"system halt followed by reactivation with immediate operational capacity"
] | 1 |
[
[
0.576301971866642,
0.625869074263905,
-2.575192502879813,
-2.572356241263329,
0.8692473435155951,
0.708390856527069,
0.91368227319906,
0.595750645951718,
0.30807236861068305,
0.441241592049802,
0.012155501805317001,
-0.39383548921850103,
0.309422872586192,
0... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 163 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["continue observing gradual gear wear and arrange for a gear examination", "identify any momentary impacts from stray items", "quickly address product obstruction and verify the conveyor route", "check the roller for damage from strikes and assess surface drag"] | suggested_fix | continue observing gradual gear wear and arrange for a gear examination | [
"continue observing gradual gear wear and arrange for a gear examination"
] | [
"MCQ_fix"
] | [
"continue observing gradual gear wear and arrange for a gear examination",
"identify any momentary impacts from stray items",
"quickly address product obstruction and verify the conveyor route",
"check the roller for damage from strikes and assess surface drag"
] | 0 |
[
[
-0.48065299491941404,
-0.6434526349551021,
-0.49061580781114505,
-0.652594523340846,
-0.7798125023165811,
-0.8967390375729111,
-0.601740012115623,
-0.452789851392696,
-0.747570137665241,
-0.7094703657279431,
-0.46877425647158205,
-3.555453268219633,
-2.430745324... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 164 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["a sharp temperature increase appears while vibration stays within its normal range", "temperature and vibration experience a sharp concurrent rise", "vibration gradually rises over many hours while temperature remains near baseline", "both vibration and temperature gradually rise in a coordinated manner"] | what_happened | both vibration and temperature gradually rise in a coordinated manner | [
"both vibration and temperature gradually rise in a coordinated manner"
] | [
"MCQ_obs"
] | [
"a sharp temperature increase appears while vibration stays within its normal range",
"temperature and vibration experience a sharp concurrent rise",
"vibration gradually rises over many hours while temperature remains near baseline",
"both vibration and temperature gradually rise in a coordinated manner"
] | 3 |
[
[
-0.48065299491941404,
-0.6434526349551021,
-0.49061580781114505,
-0.652594523340846,
-0.7798125023165811,
-0.8967390375729111,
-0.601740012115623,
-0.452789851392696,
-0.747570137665241,
-0.7094703657279431,
-0.46877425647158205,
-3.555453268219633,
-2.430745324... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 164 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["incremental degradation of gear", "sudden impact event followed by trapped material causing continuous rubbing against components", "short encounter with an alien object that quickly departs", "temporary suspension of operation followed by restart and load ramp-up"] | how_happened | incremental degradation of gear | [
"incremental degradation of gear"
] | [
"MCQ_cause"
] | [
"incremental degradation of gear",
"sudden impact event followed by trapped material causing continuous rubbing against components",
"short encounter with an alien object that quickly departs",
"temporary suspension of operation followed by restart and load ramp-up"
] | 0 |
[
[
-0.48065299491941404,
-0.6434526349551021,
-0.49061580781114505,
-0.652594523340846,
-0.7798125023165811,
-0.8967390375729111,
-0.601740012115623,
-0.452789851392696,
-0.747570137665241,
-0.7094703657279431,
-0.46877425647158205,
-3.555453268219633,
-2.430745324... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 164 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["keep tracking gradual misalignment and organize a precision alignment evaluation", "re-evaluate the adjustment of the belt tension", "inspect the roller for any signs of impact damage and surface resistance", "keep tracking the progressive deterioration due to wear and schedule an evaluation"] | suggested_fix | keep tracking the progressive deterioration due to wear and schedule an evaluation | [
"keep tracking the progressive deterioration due to wear and schedule an evaluation"
] | [
"MCQ_fix"
] | [
"keep tracking gradual misalignment and organize a precision alignment evaluation",
"re-evaluate the adjustment of the belt tension",
"inspect the roller for any signs of impact damage and surface resistance",
"keep tracking the progressive deterioration due to wear and schedule an evaluation"
] | 3 |
[
[
-3.484030407498418,
-3.4789968710454833,
-0.40100329979436006,
-0.140099462479296,
-0.050334989503348006,
-0.29446041364485204,
-2.264242219950443,
-0.427848660865123,
-0.12667678194391402,
-0.16778363170093702,
0.162750282761002,
0.19630710910812302,
-0.2055349... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration and temperature exhibit a parallel jump", "vibration steadily ascends over time, and temperature maintains a baseline pattern", "a one-time spike in vibration is followed by a notable increase in temperature", "there is a simultaneous, gradual increase in both vibration and temperature"] | what_happened | there is a simultaneous, gradual increase in both vibration and temperature | [
"there is a simultaneous, gradual increase in both vibration and temperature"
] | [
"MCQ_obs"
] | [
"vibration and temperature exhibit a parallel jump",
"vibration steadily ascends over time, and temperature maintains a baseline pattern",
"a one-time spike in vibration is followed by a notable increase in temperature",
"there is a simultaneous, gradual increase in both vibration and temperature"
] | 3 |
[
[
-3.484030407498418,
-3.4789968710454833,
-0.40100329979436006,
-0.140099462479296,
-0.050334989503348006,
-0.29446041364485204,
-2.264242219950443,
-0.427848660865123,
-0.12667678194391402,
-0.16778363170093702,
0.162750282761002,
0.19630710910812302,
-0.2055349... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["belt replacement or resetting required after maintenance", "immediate thermal surge in the rolling contact with negligible dynamic response", "steady wearing down of gear teeth", "ongoing friction increase without dynamic disturbance"] | how_happened | steady wearing down of gear teeth | [
"steady wearing down of gear teeth"
] | [
"MCQ_cause"
] | [
"belt replacement or resetting required after maintenance",
"immediate thermal surge in the rolling contact with negligible dynamic response",
"steady wearing down of gear teeth",
"ongoing friction increase without dynamic disturbance"
] | 2 |
[
[
-3.484030407498418,
-3.4789968710454833,
-0.40100329979436006,
-0.140099462479296,
-0.050334989503348006,
-0.29446041364485204,
-2.264242219950443,
-0.427848660865123,
-0.12667678194391402,
-0.16778363170093702,
0.162750282761002,
0.19630710910812302,
-0.2055349... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["keep tracking gradual misalignment and organize a precision alignment evaluation", "monitor for early signs of heat increase and schedule an inspection", "track restart with immediate load pickup", "monitor the steady wear of bearings and plan for their replacement"] | suggested_fix | monitor the steady wear of bearings and plan for their replacement | [
"monitor the steady wear of bearings and plan for their replacement"
] | [
"MCQ_fix"
] | [
"keep tracking gradual misalignment and organize a precision alignment evaluation",
"monitor for early signs of heat increase and schedule an inspection",
"track restart with immediate load pickup",
"monitor the steady wear of bearings and plan for their replacement"
] | 3 |
[
[
-0.9227377847294921,
-0.8194246708407851,
-0.8531646220219261,
-0.7669061486266191,
-0.6453069523765871,
-0.7309496314417061,
-0.7601950913709581,
-2.452548102338863,
-0.862461575087022,
-0.892568853493635,
-0.7834066476190781,
-0.649986108531307,
-0.42421183312... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 163 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["temperature experiences a slow upward trend, with vibration tracking normally", "vibration trends upward gradually as temperature exhibits baseline fluctuations", "temperature and vibration show a coordinated, slow increase", "vibration stabilizes within a different consistent range"] | what_happened | temperature and vibration show a coordinated, slow increase | [
"temperature and vibration show a coordinated, slow increase"
] | [
"MCQ_obs"
] | [
"temperature experiences a slow upward trend, with vibration tracking normally",
"vibration trends upward gradually as temperature exhibits baseline fluctuations",
"temperature and vibration show a coordinated, slow increase",
"vibration stabilizes within a different consistent range"
] | 2 |
[
[
-0.9227377847294921,
-0.8194246708407851,
-0.8531646220219261,
-0.7669061486266191,
-0.6453069523765871,
-0.7309496314417061,
-0.7601950913709581,
-2.452548102338863,
-0.862461575087022,
-0.892568853493635,
-0.7834066476190781,
-0.649986108531307,
-0.42421183312... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 163 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["gradual lubrication loss with little dynamics change", "incremental imbalance formation in mechanical systems", "steady wearing down of gear teeth", "gradual increase in temperature with corresponding vibration"] | how_happened | steady wearing down of gear teeth | [
"steady wearing down of gear teeth"
] | [
"MCQ_cause"
] | [
"gradual lubrication loss with little dynamics change",
"incremental imbalance formation in mechanical systems",
"steady wearing down of gear teeth",
"gradual increase in temperature with corresponding vibration"
] | 2 |
[
[
-0.9227377847294921,
-0.8194246708407851,
-0.8531646220219261,
-0.7669061486266191,
-0.6453069523765871,
-0.7309496314417061,
-0.7601950913709581,
-2.452548102338863,
-0.862461575087022,
-0.892568853493635,
-0.7834066476190781,
-0.649986108531307,
-0.42421183312... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 163 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["detect short-lived contact with external objects", "continue monitoring gradual imbalance development and schedule balancing service", "inspect the roller for strike damage and surface drag", "continue observing gradual gear wear and arrange for a gear examination"] | suggested_fix | continue observing gradual gear wear and arrange for a gear examination | [
"continue observing gradual gear wear and arrange for a gear examination"
] | [
"MCQ_fix"
] | [
"detect short-lived contact with external objects",
"continue monitoring gradual imbalance development and schedule balancing service",
"inspect the roller for strike damage and surface drag",
"continue observing gradual gear wear and arrange for a gear examination"
] | 3 |
[
[
-0.137535765714029,
-0.20636777180047303,
-0.223125425573162,
-1.532441955920628,
-0.262924693120827,
-1.535312246224566,
-0.178287854363843,
0.091250791691103,
-1.520441699945181,
-0.006797062319519,
-1.535312246224566,
-1.5209424733921781,
-1.520997436420264,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration shows a one-off spike and returns to baseline while temperature shows no corresponding change", "there is an abrupt simultaneous jump in temperature and vibration", "temperature and vibration show a coordinated, slow increase", "vibration ceases temporarily, then both vibration and temperature ramp up together"] | what_happened | temperature and vibration show a coordinated, slow increase | [
"temperature and vibration show a coordinated, slow increase"
] | [
"MCQ_obs"
] | [
"vibration shows a one-off spike and returns to baseline while temperature shows no corresponding change",
"there is an abrupt simultaneous jump in temperature and vibration",
"temperature and vibration show a coordinated, slow increase",
"vibration ceases temporarily, then both vibration and temperature ramp... | 2 |
[
[
-0.137535765714029,
-0.20636777180047303,
-0.223125425573162,
-1.532441955920628,
-0.262924693120827,
-1.535312246224566,
-0.178287854363843,
0.091250791691103,
-1.520441699945181,
-0.006797062319519,
-1.535312246224566,
-1.5209424733921781,
-1.520997436420264,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["immediate alignment deviation with no thermal response", "brief foreign object strike that passes through", "foreign body collision that remains trapped and creates ongoing contact friction", "continuous gear wear over time"] | how_happened | continuous gear wear over time | [
"continuous gear wear over time"
] | [
"MCQ_cause"
] | [
"immediate alignment deviation with no thermal response",
"brief foreign object strike that passes through",
"foreign body collision that remains trapped and creates ongoing contact friction",
"continuous gear wear over time"
] | 3 |
[
[
-0.137535765714029,
-0.20636777180047303,
-0.223125425573162,
-1.532441955920628,
-0.262924693120827,
-1.535312246224566,
-0.178287854363843,
0.091250791691103,
-1.520441699945181,
-0.006797062319519,
-1.535312246224566,
-1.5209424733921781,
-1.520997436420264,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["check for an item that might have impacted and gotten stuck, then clear the conveyor passage to eliminate drag", "re-evaluate the adjustment of the belt tension", "urgently evaluate for major structural looseness and take steps to secure or fix it", "monitor the gradual wear-related decline and plan to perform an inspection"] | suggested_fix | monitor the gradual wear-related decline and plan to perform an inspection | [
"monitor the gradual wear-related decline and plan to perform an inspection"
] | [
"MCQ_fix"
] | [
"check for an item that might have impacted and gotten stuck, then clear the conveyor passage to eliminate drag",
"re-evaluate the adjustment of the belt tension",
"urgently evaluate for major structural looseness and take steps to secure or fix it",
"monitor the gradual wear-related decline and plan to perfo... | 3 |
[
[
182.83711954505154,
163.65743703046132,
165.4541754223079,
-0.6949988896166021,
141.13946760803006,
157.07887107819514,
148.73204551568026,
186.05462425669177,
-0.6949988896166021,
185.6455989783737,
183.74061731209815,
209.07047797152262,
180.4764121795087,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 169 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration shows a one-off spike and returns to baseline, then temperature shows a sharp increase in subsequent readings", "both vibration and temperature show a sudden simultaneous increase", "vibration decreases to a minimal level and subsequently, both vibration and temperature escalate together", "temperature surges abruptly with vibration maintaining its standard range"] | what_happened | vibration decreases to a minimal level and subsequently, both vibration and temperature escalate together | [
"vibration decreases to a minimal level and subsequently, both vibration and temperature escalate together"
] | [
"MCQ_obs"
] | [
"vibration shows a one-off spike and returns to baseline, then temperature shows a sharp increase in subsequent readings",
"both vibration and temperature show a sudden simultaneous increase",
"vibration decreases to a minimal level and subsequently, both vibration and temperature escalate together",
"tempera... | 2 |
[
[
182.83711954505154,
163.65743703046132,
165.4541754223079,
-0.6949988896166021,
141.13946760803006,
157.07887107819514,
148.73204551568026,
186.05462425669177,
-0.6949988896166021,
185.6455989783737,
183.74061731209815,
209.07047797152262,
180.4764121795087,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 169 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["ongoing friction increase without dynamic disturbance", "planned shutdown followed by controlled restart and load application", "progressive deterioration of the gear system", "sudden product jam creating immediate shock impact and friction surge"] | how_happened | planned shutdown followed by controlled restart and load application | [
"planned shutdown followed by controlled restart and load application"
] | [
"MCQ_cause"
] | [
"ongoing friction increase without dynamic disturbance",
"planned shutdown followed by controlled restart and load application",
"progressive deterioration of the gear system",
"sudden product jam creating immediate shock impact and friction surge"
] | 1 |
[
[
182.83711954505154,
163.65743703046132,
165.4541754223079,
-0.6949988896166021,
141.13946760803006,
157.07887107819514,
148.73204551568026,
186.05462425669177,
-0.6949988896166021,
185.6455989783737,
183.74061731209815,
209.07047797152262,
180.4764121795087,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 169 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["keep track of planned stop and restart occurrences", "check for severe structural looseness and secure or repair immediately", "check conveyor for transient debris contact", "assess the quality of splice rework and confirm that the belt joint is balanced"] | suggested_fix | keep track of planned stop and restart occurrences | [
"keep track of planned stop and restart occurrences"
] | [
"MCQ_fix"
] | [
"keep track of planned stop and restart occurrences",
"check for severe structural looseness and secure or repair immediately",
"check conveyor for transient debris contact",
"assess the quality of splice rework and confirm that the belt joint is balanced"
] | 0 |
[
[
0.320156655611257,
0.07689813517084601,
0.15279090148861801,
-6.354384743239969,
-0.006533699250760001,
-6.420728078214702,
-6.374991359632101,
-6.481542801941541,
0.09348372551101501,
0.34679473618794704,
-0.202548271656237,
-0.021109151031892003,
0.25682920251... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 166 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration decreases to a minimal level and subsequently, both vibration and temperature escalate together", "both vibration and temperature increase slowly and concurrently", "both vibration and temperature readings indicate a parallel jump", "a single vibration spike precedes a sharp temperature rise"] | what_happened | vibration decreases to a minimal level and subsequently, both vibration and temperature escalate together | [
"vibration decreases to a minimal level and subsequently, both vibration and temperature escalate together"
] | [
"MCQ_obs"
] | [
"vibration decreases to a minimal level and subsequently, both vibration and temperature escalate together",
"both vibration and temperature increase slowly and concurrently",
"both vibration and temperature readings indicate a parallel jump",
"a single vibration spike precedes a sharp temperature rise"
] | 0 |
[
[
0.320156655611257,
0.07689813517084601,
0.15279090148861801,
-6.354384743239969,
-0.006533699250760001,
-6.420728078214702,
-6.374991359632101,
-6.481542801941541,
0.09348372551101501,
0.34679473618794704,
-0.202548271656237,
-0.021109151031892003,
0.25682920251... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 166 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["immediate belt contact impact with structure causing sharp friction and dynamic spike", "system halt followed by reactivation with immediate operational capacity", "gradual misalignment with rising dynamic conditions", "sudden bearing wear transition"] | how_happened | system halt followed by reactivation with immediate operational capacity | [
"system halt followed by reactivation with immediate operational capacity"
] | [
"MCQ_cause"
] | [
"immediate belt contact impact with structure causing sharp friction and dynamic spike",
"system halt followed by reactivation with immediate operational capacity",
"gradual misalignment with rising dynamic conditions",
"sudden bearing wear transition"
] | 1 |
[
[
0.320156655611257,
0.07689813517084601,
0.15279090148861801,
-6.354384743239969,
-0.006533699250760001,
-6.420728078214702,
-6.374991359632101,
-6.481542801941541,
0.09348372551101501,
0.34679473618794704,
-0.202548271656237,
-0.021109151031892003,
0.25682920251... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 166 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["monitor scheduled shutdown and restart activities", "continue to observe the gradual decrease in lubrication and take action if the dynamics show changes", "immediately check for roller lock-up when under load", "check belt tracking for impact marks and fresh rub marks, then remove contact points"] | suggested_fix | monitor scheduled shutdown and restart activities | [
"monitor scheduled shutdown and restart activities"
] | [
"MCQ_fix"
] | [
"monitor scheduled shutdown and restart activities",
"continue to observe the gradual decrease in lubrication and take action if the dynamics show changes",
"immediately check for roller lock-up when under load",
"check belt tracking for impact marks and fresh rub marks, then remove contact points"
] | 0 |
[
[
-0.0016857716466180002,
-0.442546523189466,
-0.741321763786384,
-0.5638537939350571,
-1.030550100618099,
-0.37964675442731205,
-0.576209870785729,
-0.735706095568816,
-0.585195743319849,
-0.332471927855696,
-0.5082554650370891,
-0.6160832574931581,
-0.9047505630... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 123 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["temperature surges abruptly with vibration maintaining its standard range", "a parallel sharp rise is detected in both temperature and vibration", "vibration experiences a sudden but brief spike, reverting to normal as the temperature stays constant.", "vibration subsides, and then both vibration and temperature start to increase concurrently"] | what_happened | vibration subsides, and then both vibration and temperature start to increase concurrently | [
"vibration subsides, and then both vibration and temperature start to increase concurrently"
] | [
"MCQ_obs"
] | [
"temperature surges abruptly with vibration maintaining its standard range",
"a parallel sharp rise is detected in both temperature and vibration",
"vibration experiences a sudden but brief spike, reverting to normal as the temperature stays constant.",
"vibration subsides, and then both vibration and tempera... | 3 |
[
[
-0.0016857716466180002,
-0.442546523189466,
-0.741321763786384,
-0.5638537939350571,
-1.030550100618099,
-0.37964675442731205,
-0.576209870785729,
-0.735706095568816,
-0.585195743319849,
-0.332471927855696,
-0.5082554650370891,
-0.6160832574931581,
-0.9047505630... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 123 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["rapid structural imbalance with negligible heat change", "operational pause followed by restart with typical conditioning", "abrupt belt strike on structure causing simultaneous shock impact and friction surge", "short-lived object contact that moves through"] | how_happened | operational pause followed by restart with typical conditioning | [
"operational pause followed by restart with typical conditioning"
] | [
"MCQ_cause"
] | [
"rapid structural imbalance with negligible heat change",
"operational pause followed by restart with typical conditioning",
"abrupt belt strike on structure causing simultaneous shock impact and friction surge",
"short-lived object contact that moves through"
] | 1 |
[
[
-0.0016857716466180002,
-0.442546523189466,
-0.741321763786384,
-0.5638537939350571,
-1.030550100618099,
-0.37964675442731205,
-0.576209870785729,
-0.735706095568816,
-0.585195743319849,
-0.332471927855696,
-0.5082554650370891,
-0.6160832574931581,
-0.9047505630... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 123 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["confirm belt tension has been readjusted", "keep track of planned stop and restart occurrences", "quickly address product obstruction and verify the conveyor route", "inspect gears urgently for severe wear progression and repair"] | suggested_fix | keep track of planned stop and restart occurrences | [
"keep track of planned stop and restart occurrences"
] | [
"MCQ_fix"
] | [
"confirm belt tension has been readjusted",
"keep track of planned stop and restart occurrences",
"quickly address product obstruction and verify the conveyor route",
"inspect gears urgently for severe wear progression and repair"
] | 1 |
[
[
-0.195523385053318,
0.520959771802037,
-0.060363680153912004,
0.178464560235281,
0.494715305596424,
0.324123928791603,
0.20536603757556401,
-21.408542837164465,
0.0013124579571140002,
-0.59903772359643,
0.762411363793234,
0,
0.074142142235275,
0.107604345048... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration halts, followed by a concurrent rise in both vibration and temperature", "vibration and temperature both rise sharply", "a rapid transition yields a different sustained vibration level", "temperature experiences a sharp increase while vibration persists at baseline values"] | what_happened | vibration halts, followed by a concurrent rise in both vibration and temperature | [
"vibration halts, followed by a concurrent rise in both vibration and temperature"
] | [
"MCQ_obs"
] | [
"vibration halts, followed by a concurrent rise in both vibration and temperature",
"vibration and temperature both rise sharply",
"a rapid transition yields a different sustained vibration level",
"temperature experiences a sharp increase while vibration persists at baseline values"
] | 0 |
[
[
-0.195523385053318,
0.520959771802037,
-0.060363680153912004,
0.178464560235281,
0.494715305596424,
0.324123928791603,
0.20536603757556401,
-21.408542837164465,
0.0013124579571140002,
-0.59903772359643,
0.762411363793234,
0,
0.074142142235275,
0.107604345048... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["quick onset of wear in bearings or gears", "operational pause followed by restart with typical conditioning", "gradual misalignment with rising dynamic conditions", "abrupt roller lock-up under load with instantaneous loss surge and excitation"] | how_happened | operational pause followed by restart with typical conditioning | [
"operational pause followed by restart with typical conditioning"
] | [
"MCQ_cause"
] | [
"quick onset of wear in bearings or gears",
"operational pause followed by restart with typical conditioning",
"gradual misalignment with rising dynamic conditions",
"abrupt roller lock-up under load with instantaneous loss surge and excitation"
] | 1 |
[
[
-0.195523385053318,
0.520959771802037,
-0.060363680153912004,
0.178464560235281,
0.494715305596424,
0.324123928791603,
0.20536603757556401,
-21.408542837164465,
0.0013124579571140002,
-0.59903772359643,
0.762411363793234,
0,
0.074142142235275,
0.107604345048... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["check rollers urgently for lock-up under load", "urgently examine the gears for any signs of rapid wear advancement and carry out necessary repairs", "observe for a fleeting strike by a foreign object", "log restart events with instant load engagement"] | suggested_fix | log restart events with instant load engagement | [
"log restart events with instant load engagement"
] | [
"MCQ_fix"
] | [
"check rollers urgently for lock-up under load",
"urgently examine the gears for any signs of rapid wear advancement and carry out necessary repairs",
"observe for a fleeting strike by a foreign object",
"log restart events with instant load engagement"
] | 3 |
[
[
18.228334517224553,
-0.27531028739929003,
15.969159587204409,
0.022133516309198003,
16.5523975308846,
15.370388604242164,
13.176450032131784,
15.998670325084657,
15.050423548438665,
0.08814580868959401,
11.871735835108874,
15.976149362301532,
0.099018496432971,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["both vibration and temperature show a sudden jump", "both vibration and temperature gradually rise in a coordinated manner", "a sudden increase in temperature is observed while vibration remains within its normal limits", "vibration pauses, after which both vibration and temperature increase simultaneously"] | what_happened | vibration pauses, after which both vibration and temperature increase simultaneously | [
"vibration pauses, after which both vibration and temperature increase simultaneously"
] | [
"MCQ_obs"
] | [
"both vibration and temperature show a sudden jump",
"both vibration and temperature gradually rise in a coordinated manner",
"a sudden increase in temperature is observed while vibration remains within its normal limits",
"vibration pauses, after which both vibration and temperature increase simultaneously"
... | 3 |
[
[
18.228334517224553,
-0.27531028739929003,
15.969159587204409,
0.022133516309198003,
16.5523975308846,
15.370388604242164,
13.176450032131784,
15.998670325084657,
15.050423548438665,
0.08814580868959401,
11.871735835108874,
15.976149362301532,
0.099018496432971,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["adjustment of belt tension affecting operational conditions", "operational break followed by equipment restart with load stabilization", "rapid structural imbalance with negligible heat change", "an abrupt increase in friction on the rolling track with little dynamic alteration"] | how_happened | operational break followed by equipment restart with load stabilization | [
"operational break followed by equipment restart with load stabilization"
] | [
"MCQ_cause"
] | [
"adjustment of belt tension affecting operational conditions",
"operational break followed by equipment restart with load stabilization",
"rapid structural imbalance with negligible heat change",
"an abrupt increase in friction on the rolling track with little dynamic alteration"
] | 1 |
[
[
18.228334517224553,
-0.27531028739929003,
15.969159587204409,
0.022133516309198003,
16.5523975308846,
15.370388604242164,
13.176450032131784,
15.998670325084657,
15.050423548438665,
0.08814580868959401,
11.871735835108874,
15.976149362301532,
0.099018496432971,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["monitor slow alignment drift and plan a precision alignment check", "observe for a fleeting strike by a foreign object", "verify belt replacement or reset was performed correctly", "monitor restart with immediate load application"] | suggested_fix | monitor restart with immediate load application | [
"monitor restart with immediate load application"
] | [
"MCQ_fix"
] | [
"monitor slow alignment drift and plan a precision alignment check",
"observe for a fleeting strike by a foreign object",
"verify belt replacement or reset was performed correctly",
"monitor restart with immediate load application"
] | 3 |
[
[
0,
0.7351949227036341,
1.176649129927021,
0.9392958441461511,
0.971536465269599,
0,
0,
1.219749085340811,
1.2772156657573421,
1.0937542094122,
0.9716039255380021,
0.12302711911566801,
0.001146633599622,
0.11790098297552501,
0.001146633599622,
0,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 155 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["temperature increases slowly, while vibration continues to follow typical patterns", "vibration ceases, then both vibration and temperature ramp up together", "vibration experiences a gradual upward movement with time, whereas temperature holds steady with baseline variations", "temperature rises sharply while vibration stays near baseline"] | what_happened | vibration ceases, then both vibration and temperature ramp up together | [
"vibration ceases, then both vibration and temperature ramp up together"
] | [
"MCQ_obs"
] | [
"temperature increases slowly, while vibration continues to follow typical patterns",
"vibration ceases, then both vibration and temperature ramp up together",
"vibration experiences a gradual upward movement with time, whereas temperature holds steady with baseline variations",
"temperature rises sharply whi... | 1 |
[
[
0,
0.7351949227036341,
1.176649129927021,
0.9392958441461511,
0.971536465269599,
0,
0,
1.219749085340811,
1.2772156657573421,
1.0937542094122,
0.9716039255380021,
0.12302711911566801,
0.001146633599622,
0.11790098297552501,
0.001146633599622,
0,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 155 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["scheduled maintenance stop followed by system recovery with load engagement", "foreign object impact that becomes trapped and continuously rubs against the structure", "belt replacement or reset after servicing", "progressive frictional losses without dynamic excitation"] | how_happened | scheduled maintenance stop followed by system recovery with load engagement | [
"scheduled maintenance stop followed by system recovery with load engagement"
] | [
"MCQ_cause"
] | [
"scheduled maintenance stop followed by system recovery with load engagement",
"foreign object impact that becomes trapped and continuously rubs against the structure",
"belt replacement or reset after servicing",
"progressive frictional losses without dynamic excitation"
] | 0 |
[
[
0,
0.7351949227036341,
1.176649129927021,
0.9392958441461511,
0.971536465269599,
0,
0,
1.219749085340811,
1.2772156657573421,
1.0937542094122,
0.9716039255380021,
0.12302711911566801,
0.001146633599622,
0.11790098297552501,
0.001146633599622,
0,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 155 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["keep an eye on the progressive wear of gears and organize a gear check", "continue monitoring gradual imbalance development and schedule balancing service", "monitor restart with immediate load application", "inspect belt tracking immediately and remove contact against structure"] | suggested_fix | monitor restart with immediate load application | [
"monitor restart with immediate load application"
] | [
"MCQ_fix"
] | [
"keep an eye on the progressive wear of gears and organize a gear check",
"continue monitoring gradual imbalance development and schedule balancing service",
"monitor restart with immediate load application",
"inspect belt tracking immediately and remove contact against structure"
] | 2 |
[
[
0.7300427501319551,
0.37787100252293204,
0.31806814743077,
0.447494225791138,
0.19054780573011001,
-3.81388894947621,
-3.81388894947621,
0.15976712999897502,
0.42804872260785803,
0.589232574443959,
0.613075716403359,
0.109638334693822,
0.771132575886574,
0.6... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["a singular spike in vibration is followed by a notable rise in temperature", "temperature rises abruptly as vibration tracking normal", "both temperature and vibration rise sharply in coordination", "vibration ceases, then both vibration and temperature ramp up together"] | what_happened | vibration ceases, then both vibration and temperature ramp up together | [
"vibration ceases, then both vibration and temperature ramp up together"
] | [
"MCQ_obs"
] | [
"a singular spike in vibration is followed by a notable rise in temperature",
"temperature rises abruptly as vibration tracking normal",
"both temperature and vibration rise sharply in coordination",
"vibration ceases, then both vibration and temperature ramp up together"
] | 3 |
[
[
0.7300427501319551,
0.37787100252293204,
0.31806814743077,
0.447494225791138,
0.19054780573011001,
-3.81388894947621,
-3.81388894947621,
0.15976712999897502,
0.42804872260785803,
0.589232574443959,
0.613075716403359,
0.109638334693822,
0.771132575886574,
0.6... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["immediate thermal surge in the rolling contact with negligible dynamic response", "immediate alignment deviation with no thermal response", "steady loss of lubrication with limited change in dynamics", "operational break followed by equipment restart with load stabilization"] | how_happened | operational break followed by equipment restart with load stabilization | [
"operational break followed by equipment restart with load stabilization"
] | [
"MCQ_cause"
] | [
"immediate thermal surge in the rolling contact with negligible dynamic response",
"immediate alignment deviation with no thermal response",
"steady loss of lubrication with limited change in dynamics",
"operational break followed by equipment restart with load stabilization"
] | 3 |
[
[
0.7300427501319551,
0.37787100252293204,
0.31806814743077,
0.447494225791138,
0.19054780573011001,
-3.81388894947621,
-3.81388894947621,
0.15976712999897502,
0.42804872260785803,
0.589232574443959,
0.613075716403359,
0.109638334693822,
0.771132575886574,
0.6... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["track the slow progression of wear-related issues and set up an inspection", "monitor scheduled shutdown and restart activities", "quickly inspect for any abrupt lubrication loss and replace the bearing if it's impaired", "immediately inspect for unexpected imbalance and carry out necessary balancing corrections"] | suggested_fix | monitor scheduled shutdown and restart activities | [
"monitor scheduled shutdown and restart activities"
] | [
"MCQ_fix"
] | [
"track the slow progression of wear-related issues and set up an inspection",
"monitor scheduled shutdown and restart activities",
"quickly inspect for any abrupt lubrication loss and replace the bearing if it's impaired",
"immediately inspect for unexpected imbalance and carry out necessary balancing correct... | 1 |
[
[
-0.267216747505846,
-0.831041710830646,
-0.222830303350526,
-10.790352010510796,
-0.6798885503608091,
-0.252221771663633,
-0.369184871341363,
-0.574921574363629,
-0.546729932928746,
-0.2120340065482,
-6.9023584162786715,
-6.828581218844141,
-6.785994515006156,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration and temperature experience a parallel and sudden jump", "vibration trends upward gradually as temperature exhibits baseline fluctuations", "vibration drops to a low level then both vibration and temperature rise together", "temperature ascends gradually, with vibration staying within its usual range"] | what_happened | vibration drops to a low level then both vibration and temperature rise together | [
"vibration drops to a low level then both vibration and temperature rise together"
] | [
"MCQ_obs"
] | [
"vibration and temperature experience a parallel and sudden jump",
"vibration trends upward gradually as temperature exhibits baseline fluctuations",
"vibration drops to a low level then both vibration and temperature rise together",
"temperature ascends gradually, with vibration staying within its usual rang... | 2 |
[
[
-0.267216747505846,
-0.831041710830646,
-0.222830303350526,
-10.790352010510796,
-0.6798885503608091,
-0.252221771663633,
-0.369184871341363,
-0.574921574363629,
-0.546729932928746,
-0.2120340065482,
-6.9023584162786715,
-6.828581218844141,
-6.785994515006156,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["brief foreign object strike that passes through", "immediate belt contact impact with structure causing sharp friction and dynamic spike", "gradual imbalance development in mechanics", "operational break followed by equipment restart with load stabilization"] | how_happened | operational break followed by equipment restart with load stabilization | [
"operational break followed by equipment restart with load stabilization"
] | [
"MCQ_cause"
] | [
"brief foreign object strike that passes through",
"immediate belt contact impact with structure causing sharp friction and dynamic spike",
"gradual imbalance development in mechanics",
"operational break followed by equipment restart with load stabilization"
] | 3 |
[
[
-0.267216747505846,
-0.831041710830646,
-0.222830303350526,
-10.790352010510796,
-0.6798885503608091,
-0.252221771663633,
-0.369184871341363,
-0.574921574363629,
-0.546729932928746,
-0.2120340065482,
-6.9023584162786715,
-6.828581218844141,
-6.785994515006156,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["maintain surveillance of early heat rise and arrange for inspection", "record restart events alongside immediate load activation", "immediately scrutinize the roller for intense heat and substitute it if it shows damage", "monitor the gradual wear-related decline and plan to perform an inspection"] | suggested_fix | record restart events alongside immediate load activation | [
"record restart events alongside immediate load activation"
] | [
"MCQ_fix"
] | [
"maintain surveillance of early heat rise and arrange for inspection",
"record restart events alongside immediate load activation",
"immediately scrutinize the roller for intense heat and substitute it if it shows damage",
"monitor the gradual wear-related decline and plan to perform an inspection"
] | 1 |
[
[
-0.06118508225717301,
0.684142033370378,
0.48255935313544907,
0.656645237113569,
0.46780979272188705,
0.6406205623758481,
1.030492519545942,
0.5457476282736811,
0.664839485582812,
0.873159823017813,
-4.58358779776582,
0.429204697146754,
0.8148883574543501,
0... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration elevates gradually over time, with temperature hovering around its baseline level", "vibration and temperature both rise sharply", "temperature and vibration readings show a simultaneous jump", "vibration subsides, and then both vibration and temperature start to increase concurrently"] | what_happened | vibration subsides, and then both vibration and temperature start to increase concurrently | [
"vibration subsides, and then both vibration and temperature start to increase concurrently"
] | [
"MCQ_obs"
] | [
"vibration elevates gradually over time, with temperature hovering around its baseline level",
"vibration and temperature both rise sharply",
"temperature and vibration readings show a simultaneous jump",
"vibration subsides, and then both vibration and temperature start to increase concurrently"
] | 3 |
[
[
-0.06118508225717301,
0.684142033370378,
0.48255935313544907,
0.656645237113569,
0.46780979272188705,
0.6406205623758481,
1.030492519545942,
0.5457476282736811,
0.664839485582812,
0.873159823017813,
-4.58358779776582,
0.429204697146754,
0.8148883574543501,
0... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["abrupt belt strike on structure causing simultaneous shock impact and friction surge", "lubrication degradation with minimal dynamic variation", "scheduled maintenance stop followed by system recovery with load engagement", "rapid deterioration of gear or bearing due to wear"] | how_happened | scheduled maintenance stop followed by system recovery with load engagement | [
"scheduled maintenance stop followed by system recovery with load engagement"
] | [
"MCQ_cause"
] | [
"abrupt belt strike on structure causing simultaneous shock impact and friction surge",
"lubrication degradation with minimal dynamic variation",
"scheduled maintenance stop followed by system recovery with load engagement",
"rapid deterioration of gear or bearing due to wear"
] | 2 |
[
[
-0.06118508225717301,
0.684142033370378,
0.48255935313544907,
0.656645237113569,
0.46780979272188705,
0.6406205623758481,
1.030492519545942,
0.5457476282736811,
0.664839485582812,
0.873159823017813,
-4.58358779776582,
0.429204697146754,
0.8148883574543501,
0... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["monitor for any gradual alignment shifts and prepare for an accuracy alignment review", "monitor restart with immediate load application", "inspect for an object that may have struck and lodged, then clear the conveyor path to stop rubbing", "quickly inspect for any abrupt lubrication loss and replace the bearing if it's impaired"] | suggested_fix | monitor restart with immediate load application | [
"monitor restart with immediate load application"
] | [
"MCQ_fix"
] | [
"monitor for any gradual alignment shifts and prepare for an accuracy alignment review",
"monitor restart with immediate load application",
"inspect for an object that may have struck and lodged, then clear the conveyor path to stop rubbing",
"quickly inspect for any abrupt lubrication loss and replace the be... | 1 |
[
[
0.508851809712286,
0.356618893992026,
0.285368581310949,
0.5134427853160061,
-4.295585798524013,
-0.006611074920481,
0.37461502800073404,
0.060966807533244,
-0.047377764925170006,
-4.295585798524013,
0.26039404179511905,
0.792016845322919,
-4.290811294445576,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 169 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration rises abruptly while temperature stays near baseline", "vibration stabilizes within a different consistent range", "vibration subsides, and then both vibration and temperature start to increase concurrently", "there is a temporary spike in vibration that normalizes as the temperature continues at its usual level."] | what_happened | vibration subsides, and then both vibration and temperature start to increase concurrently | [
"vibration subsides, and then both vibration and temperature start to increase concurrently"
] | [
"MCQ_obs"
] | [
"vibration rises abruptly while temperature stays near baseline",
"vibration stabilizes within a different consistent range",
"vibration subsides, and then both vibration and temperature start to increase concurrently",
"there is a temporary spike in vibration that normalizes as the temperature continues at i... | 2 |
[
[
0.508851809712286,
0.356618893992026,
0.285368581310949,
0.5134427853160061,
-4.295585798524013,
-0.006611074920481,
0.37461502800073404,
0.060966807533244,
-0.047377764925170006,
-4.295585798524013,
0.26039404179511905,
0.792016845322919,
-4.290811294445576,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 169 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["sudden object strike that becomes wedged and generates sustained rubbing losses", "scheduled maintenance stop followed by system recovery with load engagement", "alterations in running condition due to belt splice rework", "rapid deterioration of gear or bearing due to wear"] | how_happened | scheduled maintenance stop followed by system recovery with load engagement | [
"scheduled maintenance stop followed by system recovery with load engagement"
] | [
"MCQ_cause"
] | [
"sudden object strike that becomes wedged and generates sustained rubbing losses",
"scheduled maintenance stop followed by system recovery with load engagement",
"alterations in running condition due to belt splice rework",
"rapid deterioration of gear or bearing due to wear"
] | 1 |
[
[
0.508851809712286,
0.356618893992026,
0.285368581310949,
0.5134427853160061,
-4.295585798524013,
-0.006611074920481,
0.37461502800073404,
0.060966807533244,
-0.047377764925170006,
-4.295585798524013,
0.26039404179511905,
0.792016845322919,
-4.290811294445576,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 169 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["monitor scheduled stop and restart events", "identify any momentary impacts from stray items", "inspect the roller for any signs of impact damage and surface resistance", "keep tracking gradual misalignment and organize a precision alignment evaluation"] | suggested_fix | monitor scheduled stop and restart events | [
"monitor scheduled stop and restart events"
] | [
"MCQ_fix"
] | [
"monitor scheduled stop and restart events",
"identify any momentary impacts from stray items",
"inspect the roller for any signs of impact damage and surface resistance",
"keep tracking gradual misalignment and organize a precision alignment evaluation"
] | 0 |
[
[
1.035939547746378,
0.292064401428141,
6.112367165904013,
-9.993107750729427,
0.6357633822491441,
0.6228552182951971,
-1.521636988157627,
0.140384578425301,
1.589409417411397,
1.6813852551966542,
1.134369948402876,
0.9003966128159111,
1.561978246550022,
1.571... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 169 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["vibration momentarily spikes and then settles while temperature stays steady", "both temperature and vibration rise sharply in coordination", "vibration experiences a gradual upward movement with time, whereas temperature holds steady with baseline variations", "an isolated vibration spike occurs before a pronounced increase in temperature readings"] | what_happened | vibration momentarily spikes and then settles while temperature stays steady | [
"vibration momentarily spikes and then settles while temperature stays steady"
] | [
"MCQ_obs"
] | [
"vibration momentarily spikes and then settles while temperature stays steady",
"both temperature and vibration rise sharply in coordination",
"vibration experiences a gradual upward movement with time, whereas temperature holds steady with baseline variations",
"an isolated vibration spike occurs before a pr... | 0 |
[
[
1.035939547746378,
0.292064401428141,
6.112367165904013,
-9.993107750729427,
0.6357633822491441,
0.6228552182951971,
-1.521636988157627,
0.140384578425301,
1.589409417411397,
1.6813852551966542,
1.134369948402876,
0.9003966128159111,
1.561978246550022,
1.571... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 169 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["continuous gear wear over time", "belt replacement or resetting required after maintenance", "short-lived object contact that moves through", "lubrication degradation with minimal dynamic variation"] | how_happened | short-lived object contact that moves through | [
"short-lived object contact that moves through"
] | [
"MCQ_cause"
] | [
"continuous gear wear over time",
"belt replacement or resetting required after maintenance",
"short-lived object contact that moves through",
"lubrication degradation with minimal dynamic variation"
] | 2 |
[
[
1.035939547746378,
0.292064401428141,
6.112367165904013,
-9.993107750729427,
0.6357633822491441,
0.6228552182951971,
-1.521636988157627,
0.140384578425301,
1.589409417411397,
1.6813852551966542,
1.134369948402876,
0.9003966128159111,
1.561978246550022,
1.571... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 169 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["continue tracking slow lubrication depletion and respond when dynamic shifts occur", "detect short-lived contact with external objects", "monitor for any gradual alignment shifts and prepare for an accuracy alignment review", "immediately resolve product blockage and assess conveyor pathway"] | suggested_fix | detect short-lived contact with external objects | [
"detect short-lived contact with external objects"
] | [
"MCQ_fix"
] | [
"continue tracking slow lubrication depletion and respond when dynamic shifts occur",
"detect short-lived contact with external objects",
"monitor for any gradual alignment shifts and prepare for an accuracy alignment review",
"immediately resolve product blockage and assess conveyor pathway"
] | 1 |
[
[
1.5729707150522212,
-13.580400241343574,
0.7952939551277971,
0.08053596380139201,
-0.5813704419148901,
0.7122408205539881,
-13.580400241343574,
1.316261299115316,
0.151004744614888,
0.34982823339683805,
-0.145971903171826,
0.47314859982045704,
0.9488158705151031... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["an abrupt rise in temperature occurs as vibration remains at normal levels", "vibration exhibits an isolated spike, after which there is a sharp rise in temperature", "a short-lived vibration spike appears, returning to its baseline while the temperature remains unchanged.", "both vibration and temperature increase slowly and concurrently"] | what_happened | a short-lived vibration spike appears, returning to its baseline while the temperature remains unchanged. | [
"a short-lived vibration spike appears, returning to its baseline while the temperature remains unchanged."
] | [
"MCQ_obs"
] | [
"an abrupt rise in temperature occurs as vibration remains at normal levels",
"vibration exhibits an isolated spike, after which there is a sharp rise in temperature",
"a short-lived vibration spike appears, returning to its baseline while the temperature remains unchanged.",
"both vibration and temperature i... | 2 |
[
[
1.5729707150522212,
-13.580400241343574,
0.7952939551277971,
0.08053596380139201,
-0.5813704419148901,
0.7122408205539881,
-13.580400241343574,
1.316261299115316,
0.151004744614888,
0.34982823339683805,
-0.145971903171826,
0.47314859982045704,
0.9488158705151031... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["short-lived object contact that moves through", "alterations in running condition due to belt splice rework", "steady loss of lubrication with limited change in dynamics", "abrupt belt strike on structure causing simultaneous shock impact and friction surge"] | how_happened | short-lived object contact that moves through | [
"short-lived object contact that moves through"
] | [
"MCQ_cause"
] | [
"short-lived object contact that moves through",
"alterations in running condition due to belt splice rework",
"steady loss of lubrication with limited change in dynamics",
"abrupt belt strike on structure causing simultaneous shock impact and friction surge"
] | 0 |
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