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 |
|---|---|---|---|---|---|---|---|---|
[
[
1.5729707150522212,
-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 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", "immediately stop the machine to replace the bearing that exhibits a rapid transition in wear", "maintain observation of incremental imbalance formation and arrange for balancing service", "check conveyor for transient debris contact"] | suggested_fix | check conveyor for transient debris contact | [
"check conveyor for transient debris contact"
] | [
"MCQ_fix"
] | [
"continue tracking slow lubrication depletion and respond when dynamic shifts occur",
"immediately stop the machine to replace the bearing that exhibits a rapid transition in wear",
"maintain observation of incremental imbalance formation and arrange for balancing service",
"check conveyor for transient debri... | 3 |
[
[
1.086508659981138,
-0.40286223013543804,
0.12818484255096202,
-2.136392819358025,
-0.48831757908419304,
0.36623954865901703,
-1.00715648490251,
0.177015690895466,
0.36623954865901703,
-0.128183023423132,
0.15260117628712902,
0.115976675682879,
-1.617553913539708... | [
"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 rises steeply while temperature stays near prior levels", "a transient spike in vibration is observed, which quickly subsides while the temperature remains unaffected.", "vibration ceases, then both vibration and temperature ramp up together", "temperature and vibration experience a sharp concurrent rise"] | what_happened | a transient spike in vibration is observed, which quickly subsides while the temperature remains unaffected. | [
"a transient spike in vibration is observed, which quickly subsides while the temperature remains unaffected."
] | [
"MCQ_obs"
] | [
"vibration rises steeply while temperature stays near prior levels",
"a transient spike in vibration is observed, which quickly subsides while the temperature remains unaffected.",
"vibration ceases, then both vibration and temperature ramp up together",
"temperature and vibration experience a sharp concurren... | 1 |
[
[
1.086508659981138,
-0.40286223013543804,
0.12818484255096202,
-2.136392819358025,
-0.48831757908419304,
0.36623954865901703,
-1.00715648490251,
0.177015690895466,
0.36623954865901703,
-0.128183023423132,
0.15260117628712902,
0.115976675682879,
-1.617553913539708... | [
"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: ["incremental degradation of gear", "abrupt roller lock-up under load with instantaneous loss surge and excitation", "short-lived object contact that moves through", "gradual wear and tear of mechanical components"] | how_happened | short-lived object contact that moves through | [
"short-lived object contact that moves through"
] | [
"MCQ_cause"
] | [
"incremental degradation of gear",
"abrupt roller lock-up under load with instantaneous loss surge and excitation",
"short-lived object contact that moves through",
"gradual wear and tear of mechanical components"
] | 2 |
[
[
1.086508659981138,
-0.40286223013543804,
0.12818484255096202,
-2.136392819358025,
-0.48831757908419304,
0.36623954865901703,
-1.00715648490251,
0.177015690895466,
0.36623954865901703,
-0.128183023423132,
0.15260117628712902,
0.115976675682879,
-1.617553913539708... | [
"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 to replace the bearing that exhibits a rapid transition in wear", "quickly check rollers for potential lock-up when loaded", "observe for a fleeting strike by a foreign object", "assess the quality of splice rework and confirm that the belt joint is balanced"] | suggested_fix | observe for a fleeting strike by a foreign object | [
"observe for a fleeting strike by a foreign object"
] | [
"MCQ_fix"
] | [
"immediately stop the machine to replace the bearing that exhibits a rapid transition in wear",
"quickly check rollers for potential lock-up when loaded",
"observe for a fleeting strike by a foreign object",
"assess the quality of splice rework and confirm that the belt joint is balanced"
] | 2 |
[
[
0.815008926112999,
1.377084733501429,
-1.152255876272703,
0.140518166636404,
0.871217449104686,
173.65329928257697,
637.3376827222081,
3.709698653647471,
4.496605412159836,
-0.337245903212099,
0.505867284396743,
-0.337245903212099,
-1.152255876272703,
-0.337... | [
"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 150 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 coordinated sharp rise occurs in both vibration and temperature", "there is a temporary spike in vibration that normalizes as the temperature continues at its usual level.", "temperature elevates slowly, whereas vibration continues to operate within normal bounds", "a singular spike in vibration is followed by a notable rise in temperature"] | what_happened | there is a temporary spike in vibration that normalizes as the temperature continues at its usual level. | [
"there is a temporary spike in vibration that normalizes as the temperature continues at its usual level."
] | [
"MCQ_obs"
] | [
"a coordinated sharp rise occurs in both vibration and temperature",
"there is a temporary spike in vibration that normalizes as the temperature continues at its usual level.",
"temperature elevates slowly, whereas vibration continues to operate within normal bounds",
"a singular spike in vibration is followe... | 1 |
[
[
0.815008926112999,
1.377084733501429,
-1.152255876272703,
0.140518166636404,
0.871217449104686,
173.65329928257697,
637.3376827222081,
3.709698653647471,
4.496605412159836,
-0.337245903212099,
0.505867284396743,
-0.337245903212099,
-1.152255876272703,
-0.337... | [
"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 150 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", "adjustment of belt tension affecting operational conditions", "temporary debris impact with no sticking", "a sudden increase in friction along the rolling path with negligible dynamic variation"] | how_happened | temporary debris impact with no sticking | [
"temporary debris impact with no sticking"
] | [
"MCQ_cause"
] | [
"lubrication degradation with minimal dynamic variation",
"adjustment of belt tension affecting operational conditions",
"temporary debris impact with no sticking",
"a sudden increase in friction along the rolling path with negligible dynamic variation"
] | 2 |
[
[
0.815008926112999,
1.377084733501429,
-1.152255876272703,
0.140518166636404,
0.871217449104686,
173.65329928257697,
637.3376827222081,
3.709698653647471,
4.496605412159836,
-0.337245903212099,
0.505867284396743,
-0.337245903212099,
-1.152255876272703,
-0.337... | [
"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 150 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 resolve product blockage and assess conveyor pathway", "track the slow progression of wear-related issues and set up an inspection", "urgently examine the gears for any signs of rapid wear advancement and carry out necessary repairs", "detect short-lived contact with external objects"] | suggested_fix | detect short-lived contact with external objects | [
"detect short-lived contact with external objects"
] | [
"MCQ_fix"
] | [
"immediately resolve product blockage and assess conveyor pathway",
"track the slow progression of wear-related issues and set up an inspection",
"urgently examine the gears for any signs of rapid wear advancement and carry out necessary repairs",
"detect short-lived contact with external objects"
] | 3 |
[
[
-0.9427541037655931,
-0.8124548303751941,
1.793532065088412,
-0.44455054613522205,
0.528862176600921,
1.448622458904164,
1.8395202790753622,
0.6744907594765951,
0,
-0.6285028310207701,
-0.6285028310207701,
-0.6285028310207701,
-0.40622741518759703,
-0.628502... | [
"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 165 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 experiences a sudden but brief spike, reverting to normal as the temperature stays constant.", "vibration pauses, after which both vibration and temperature increase simultaneously", "vibration experiences an isolated spike before temperature significantly rises", "vibration and temperature both rise sharply"] | what_happened | vibration experiences a sudden but brief spike, reverting to normal as the temperature stays constant. | [
"vibration experiences a sudden but brief spike, reverting to normal as the temperature stays constant."
] | [
"MCQ_obs"
] | [
"vibration experiences a sudden but brief spike, reverting to normal as the temperature stays constant.",
"vibration pauses, after which both vibration and temperature increase simultaneously",
"vibration experiences an isolated spike before temperature significantly rises",
"vibration and temperature both ri... | 0 |
[
[
-0.9427541037655931,
-0.8124548303751941,
1.793532065088412,
-0.44455054613522205,
0.528862176600921,
1.448622458904164,
1.8395202790753622,
0.6744907594765951,
0,
-0.6285028310207701,
-0.6285028310207701,
-0.6285028310207701,
-0.40622741518759703,
-0.628502... | [
"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 165 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: ["accelerated wear affecting gears significantly", "temporary debris impact with no sticking", "severe roller heating event with minimal change in dynamics", "lubrication degradation with minimal dynamic variation"] | how_happened | temporary debris impact with no sticking | [
"temporary debris impact with no sticking"
] | [
"MCQ_cause"
] | [
"accelerated wear affecting gears significantly",
"temporary debris impact with no sticking",
"severe roller heating event with minimal change in dynamics",
"lubrication degradation with minimal dynamic variation"
] | 1 |
[
[
-0.9427541037655931,
-0.8124548303751941,
1.793532065088412,
-0.44455054613522205,
0.528862176600921,
1.448622458904164,
1.8395202790753622,
0.6744907594765951,
0,
-0.6285028310207701,
-0.6285028310207701,
-0.6285028310207701,
-0.40622741518759703,
-0.628502... | [
"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 165 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 check rollers for potential lock-up when loaded", "continue to observe the gradual decrease in lubrication and take action if the dynamics show changes", "immediately scrutinize the roller for intense heat and substitute it if it shows damage", "detect short-lived contact with external objects"] | suggested_fix | detect short-lived contact with external objects | [
"detect short-lived contact with external objects"
] | [
"MCQ_fix"
] | [
"quickly check rollers for potential lock-up when loaded",
"continue to observe the gradual decrease in lubrication and take action if the dynamics show changes",
"immediately scrutinize the roller for intense heat and substitute it if it shows damage",
"detect short-lived contact with external objects"
] | 3 |
[
[
1.5425316796183859,
1.143702634563045,
-42.369745709537426,
-41.87120896623152,
-42.275903684109515,
-42.1234101742958,
-39.88292810281729,
-42.04129818355301,
-42.369745709537426,
-40.58087893166414,
-42.20552194654522,
-42.522239437844505,
-41.37267265991235,
... | [
"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: ["vibration elevates gradually over time, with temperature hovering around its baseline level", "temperature trends upward at a gradual pace as vibration remains within acceptable levels", "there is a temporary spike in vibration that normalizes as the temperature continues at its usual level.", "both temperature and vibration rise sharply in coordination"] | what_happened | there is a temporary spike in vibration that normalizes as the temperature continues at its usual level. | [
"there is a temporary spike in vibration that normalizes as the temperature continues at its usual level."
] | [
"MCQ_obs"
] | [
"vibration elevates gradually over time, with temperature hovering around its baseline level",
"temperature trends upward at a gradual pace as vibration remains within acceptable levels",
"there is a temporary spike in vibration that normalizes as the temperature continues at its usual level.",
"both temperat... | 2 |
[
[
1.5425316796183859,
1.143702634563045,
-42.369745709537426,
-41.87120896623152,
-42.275903684109515,
-42.1234101742958,
-39.88292810281729,
-42.04129818355301,
-42.369745709537426,
-40.58087893166414,
-42.20552194654522,
-42.522239437844505,
-41.37267265991235,
... | [
"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: ["sudden misalignment in structure with steady thermal conditions", "brief foreign object strike that passes through", "initial contact shock followed by sustained belt rubbing against structure", "incremental imbalance formation in mechanical systems"] | how_happened | brief foreign object strike that passes through | [
"brief foreign object strike that passes through"
] | [
"MCQ_cause"
] | [
"sudden misalignment in structure with steady thermal conditions",
"brief foreign object strike that passes through",
"initial contact shock followed by sustained belt rubbing against structure",
"incremental imbalance formation in mechanical systems"
] | 1 |
[
[
1.5425316796183859,
1.143702634563045,
-42.369745709537426,
-41.87120896623152,
-42.275903684109515,
-42.1234101742958,
-39.88292810281729,
-42.04129818355301,
-42.369745709537426,
-40.58087893166414,
-42.20552194654522,
-42.522239437844505,
-41.37267265991235,
... | [
"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: ["inspect immediately for sudden imbalance and perform corrective balancing", "immediately check for roller lock-up when under load", "review and verify that the splice rework is of high quality and the belt joint is balanced", "assess conveyor for short-term debris collision"] | suggested_fix | assess conveyor for short-term debris collision | [
"assess conveyor for short-term debris collision"
] | [
"MCQ_fix"
] | [
"inspect immediately for sudden imbalance and perform corrective balancing",
"immediately check for roller lock-up when under load",
"review and verify that the splice rework is of high quality and the belt joint is balanced",
"assess conveyor for short-term debris collision"
] | 3 |
[
[
0.46134845008113806,
0.557901440804574,
0.833570460697714,
0.5843284161808411,
0.5541016854277511,
0.939796417070459,
0.773462094564438,
-3.14514824162132,
-3.14514824162132,
0.8102526381441421,
0.6195643833491971,
0.6838180120405201,
0.541319978764067,
-3.1... | [
"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 brief spike in vibration occurs and quickly returns to normal, with the temperature remaining stable.", "vibration subsides, and then both vibration and temperature start to increase concurrently", "vibration experiences an isolated spike before temperature significantly rises", "a parallel jump is detected in both vibration and temperature readings"] | what_happened | a brief spike in vibration occurs and quickly returns to normal, with the temperature remaining stable. | [
"a brief spike in vibration occurs and quickly returns to normal, with the temperature remaining stable."
] | [
"MCQ_obs"
] | [
"a brief spike in vibration occurs and quickly returns to normal, with the temperature remaining stable.",
"vibration subsides, and then both vibration and temperature start to increase concurrently",
"vibration experiences an isolated spike before temperature significantly rises",
"a parallel jump is detecte... | 0 |
[
[
0.46134845008113806,
0.557901440804574,
0.833570460697714,
0.5843284161808411,
0.5541016854277511,
0.939796417070459,
0.773462094564438,
-3.14514824162132,
-3.14514824162132,
0.8102526381441421,
0.6195643833491971,
0.6838180120405201,
0.541319978764067,
-3.1... | [
"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: ["planned downtime followed by system relaunch with normal startup sequence", "sudden object strike that becomes wedged and generates sustained rubbing losses", "short-lived object contact that moves through", "abrupt roller lock under load with immediate friction surge and dynamic impact"] | how_happened | short-lived object contact that moves through | [
"short-lived object contact that moves through"
] | [
"MCQ_cause"
] | [
"planned downtime followed by system relaunch with normal startup sequence",
"sudden object strike that becomes wedged and generates sustained rubbing losses",
"short-lived object contact that moves through",
"abrupt roller lock under load with immediate friction surge and dynamic impact"
] | 2 |
[
[
0.46134845008113806,
0.557901440804574,
0.833570460697714,
0.5843284161808411,
0.5541016854277511,
0.939796417070459,
0.773462094564438,
-3.14514824162132,
-3.14514824162132,
0.8102526381441421,
0.6195643833491971,
0.6838180120405201,
0.541319978764067,
-3.1... | [
"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: ["check for an item that might have impacted and gotten stuck, then clear the conveyor passage to eliminate drag", "urgently examine the gears for any signs of rapid wear advancement and carry out necessary repairs", "record restart events alongside immediate load activation", "observe for a fleeting strike by a foreign object"] | suggested_fix | observe for a fleeting strike by a foreign object | [
"observe for a fleeting strike by a foreign object"
] | [
"MCQ_fix"
] | [
"check for an item that might have impacted and gotten stuck, then clear the conveyor passage to eliminate drag",
"urgently examine the gears for any signs of rapid wear advancement and carry out necessary repairs",
"record restart events alongside immediate load activation",
"observe for a fleeting strike by... | 3 |
[
[
-0.418712690476081,
1.9761382609813332,
-0.061897078476733,
-0.16293353638049002,
0.26488038905384304,
1.988882702660579,
0.04915263679748701,
-0.131985539689662,
2.206430159361047,
-0.029128292246716002,
-9.130655174984181,
0.8328723220091131,
1.466401827424418... | [
"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 159 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 upward trajectory over several hours, while temperature remains stable around its baseline", "temperature and vibration experience a sharp concurrent rise", "a brief spike in vibration occurs and quickly returns to normal, with the temperature remaining stable.", "temperature shows a gradual rise while vibration remains within its normal band"] | what_happened | a brief spike in vibration occurs and quickly returns to normal, with the temperature remaining stable. | [
"a brief spike in vibration occurs and quickly returns to normal, with the temperature remaining stable."
] | [
"MCQ_obs"
] | [
"vibration shows a slow upward trajectory over several hours, while temperature remains stable around its baseline",
"temperature and vibration experience a sharp concurrent rise",
"a brief spike in vibration occurs and quickly returns to normal, with the temperature remaining stable.",
"temperature shows a g... | 2 |
[
[
-0.418712690476081,
1.9761382609813332,
-0.061897078476733,
-0.16293353638049002,
0.26488038905384304,
1.988882702660579,
0.04915263679748701,
-0.131985539689662,
2.206430159361047,
-0.029128292246716002,
-9.130655174984181,
0.8328723220091131,
1.466401827424418... | [
"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 159 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: ["initial contact shock followed by sustained belt rubbing against structure", "steady alignment shift due to heightened dynamics", "an abrupt increase in friction on the rolling track with little dynamic alteration", "quick hit from a foreign object that exits immediately"] | how_happened | quick hit from a foreign object that exits immediately | [
"quick hit from a foreign object that exits immediately"
] | [
"MCQ_cause"
] | [
"initial contact shock followed by sustained belt rubbing against structure",
"steady alignment shift due to heightened dynamics",
"an abrupt increase in friction on the rolling track with little dynamic alteration",
"quick hit from a foreign object that exits immediately"
] | 3 |
[
[
-0.418712690476081,
1.9761382609813332,
-0.061897078476733,
-0.16293353638049002,
0.26488038905384304,
1.988882702660579,
0.04915263679748701,
-0.131985539689662,
2.206430159361047,
-0.029128292246716002,
-9.130655174984181,
0.8328723220091131,
1.466401827424418... | [
"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 159 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", "immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty", "observe for a fleeting strike by a foreign object", "immediately look for any severe structural looseness and secure or repair as needed"] | suggested_fix | observe for a fleeting strike by a foreign object | [
"observe for a fleeting strike by a foreign object"
] | [
"MCQ_fix"
] | [
"check rollers urgently for lock-up under load",
"immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty",
"observe for a fleeting strike by a foreign object",
"immediately look for any severe structural looseness and secure or repair as needed"
] | 2 |
[
[
-0.440134113466342,
-0.634478205993202,
-0.11241559977597701,
-9.551474208398465,
0.34867733507789,
0.523968263344738,
-0.20768255674774802,
-9.551474208398465,
-0.032390492809191006,
0.985061198198606,
0.42489112778964805,
1.046032005233671,
-0.360109006499556,... | [
"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 increases sharply while the temperature remains stable", "vibration shows a one-off spike and returns to baseline while temperature shows no corresponding change", "temperature rises sharply while vibration stays near baseline", "vibration elevates gradually over time, with temperature hovering around its baseline level"] | what_happened | vibration shows a one-off spike and returns to baseline while temperature shows no corresponding change | [
"vibration shows a one-off spike and returns to baseline while temperature shows no corresponding change"
] | [
"MCQ_obs"
] | [
"vibration increases sharply while the temperature remains stable",
"vibration shows a one-off spike and returns to baseline while temperature shows no corresponding change",
"temperature rises sharply while vibration stays near baseline",
"vibration elevates gradually over time, with temperature hovering aro... | 1 |
[
[
-0.440134113466342,
-0.634478205993202,
-0.11241559977597701,
-9.551474208398465,
0.34867733507789,
0.523968263344738,
-0.20768255674774802,
-9.551474208398465,
-0.032390492809191006,
0.985061198198606,
0.42489112778964805,
1.046032005233671,
-0.360109006499556,... | [
"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: ["planned downtime followed by system relaunch with normal startup sequence", "immediate belt-to-structure collision triggering sharp friction and dynamic jump", "ongoing friction increase without dynamic disturbance", "transient touch by an external body that does not linger"] | how_happened | transient touch by an external body that does not linger | [
"transient touch by an external body that does not linger"
] | [
"MCQ_cause"
] | [
"planned downtime followed by system relaunch with normal startup sequence",
"immediate belt-to-structure collision triggering sharp friction and dynamic jump",
"ongoing friction increase without dynamic disturbance",
"transient touch by an external body that does not linger"
] | 3 |
[
[
-0.440134113466342,
-0.634478205993202,
-0.11241559977597701,
-9.551474208398465,
0.34867733507789,
0.523968263344738,
-0.20768255674774802,
-9.551474208398465,
-0.032390492809191006,
0.985061198198606,
0.42489112778964805,
1.046032005233671,
-0.360109006499556,... | [
"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: ["observe for a fleeting strike by a foreign object", "immediately assess for any drastic imbalance and proceed with corrective balancing", "check immediately the roller showing severe heating and replace if damaged", "inspect belt tracking immediately and remove contact against structure"] | suggested_fix | observe for a fleeting strike by a foreign object | [
"observe for a fleeting strike by a foreign object"
] | [
"MCQ_fix"
] | [
"observe for a fleeting strike by a foreign object",
"immediately assess for any drastic imbalance and proceed with corrective balancing",
"check immediately the roller showing severe heating and replace if damaged",
"inspect belt tracking immediately and remove contact against structure"
] | 0 |
[
[
0.33724605769477,
1.031073491693313,
0.411178566984702,
-0.5044463948836351,
-14.130765154187756,
0.5249206803672211,
1.22898390119461,
0.261038326481563,
-0.054028385200111,
-0.191656261038182,
0.778565891511086,
0.12454806160513,
-0.18596820622999402,
0.93... | [
"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 pauses, after which both vibration and temperature increase simultaneously", "vibration elevates gradually over time, with temperature hovering around its baseline level", "there is a simultaneous, gradual increase in both vibration and temperature", "vibration shows a one-off spike and returns to baseline while temperature shows no corresponding change"] | what_happened | vibration shows a one-off spike and returns to baseline while temperature shows no corresponding change | [
"vibration shows a one-off spike and returns to baseline while temperature shows no corresponding change"
] | [
"MCQ_obs"
] | [
"vibration pauses, after which both vibration and temperature increase simultaneously",
"vibration elevates gradually over time, with temperature hovering around its baseline level",
"there is a simultaneous, gradual increase in both vibration and temperature",
"vibration shows a one-off spike and returns to ... | 3 |
[
[
0.33724605769477,
1.031073491693313,
0.411178566984702,
-0.5044463948836351,
-14.130765154187756,
0.5249206803672211,
1.22898390119461,
0.261038326481563,
-0.054028385200111,
-0.191656261038182,
0.778565891511086,
0.12454806160513,
-0.18596820622999402,
0.93... | [
"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", "severe roller heating event with minimal change in dynamics", "short encounter with an alien object that quickly departs", "sudden imbalance event in mechanics with negligible thermal change"] | how_happened | short encounter with an alien object that quickly departs | [
"short encounter with an alien object that quickly departs"
] | [
"MCQ_cause"
] | [
"adjustment of belt tension affecting operational conditions",
"severe roller heating event with minimal change in dynamics",
"short encounter with an alien object that quickly departs",
"sudden imbalance event in mechanics with negligible thermal change"
] | 2 |
[
[
0.33724605769477,
1.031073491693313,
0.411178566984702,
-0.5044463948836351,
-14.130765154187756,
0.5249206803672211,
1.22898390119461,
0.261038326481563,
-0.054028385200111,
-0.191656261038182,
0.778565891511086,
0.12454806160513,
-0.18596820622999402,
0.93... | [
"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: ["assess conveyor for short-term debris collision", "inspect gears urgently for severe wear progression and repair", "continue monitoring early heat accumulation and plan inspection", "ensure continuous monitoring of slow imbalance changes and set up balancing maintenance"] | suggested_fix | assess conveyor for short-term debris collision | [
"assess conveyor for short-term debris collision"
] | [
"MCQ_fix"
] | [
"assess conveyor for short-term debris collision",
"inspect gears urgently for severe wear progression and repair",
"continue monitoring early heat accumulation and plan inspection",
"ensure continuous monitoring of slow imbalance changes and set up balancing maintenance"
] | 0 |
[
[
-0.525009134651459,
-1.330088782602427,
-1.7841687626039051,
-1.744063974978944,
-1.863052732816667,
-1.155417896278341,
-0.23134909537637402,
-1.169669632102584,
0.451759084624942,
-0.025521156649834002,
2.438440785579303,
0.640020287151155,
1.510725879376918,
... | [
"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", "vibration and temperature increase sharply in parallel", "vibration steadily ascends over time, and temperature maintains a baseline pattern", "temperature climbs gradually with vibration tracking normal"] | what_happened | vibration climbs rapidly with temperature remaining consistent | [
"vibration climbs rapidly with temperature remaining consistent"
] | [
"MCQ_obs"
] | [
"vibration climbs rapidly with temperature remaining consistent",
"vibration and temperature increase sharply in parallel",
"vibration steadily ascends over time, and temperature maintains a baseline pattern",
"temperature climbs gradually with vibration tracking normal"
] | 0 |
[
[
-0.525009134651459,
-1.330088782602427,
-1.7841687626039051,
-1.744063974978944,
-1.863052732816667,
-1.155417896278341,
-0.23134909537637402,
-1.169669632102584,
0.451759084624942,
-0.025521156649834002,
2.438440785579303,
0.640020287151155,
1.510725879376918,
... | [
"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: ["abrupt alignment shift with minimal thermal impact", "immediate thermal surge in the rolling contact with negligible dynamic response", "initial impact event followed by trapped debris causing continuous frictional heating", "short-lived object contact that moves through"] | how_happened | abrupt alignment shift with minimal thermal impact | [
"abrupt alignment shift with minimal thermal impact"
] | [
"MCQ_cause"
] | [
"abrupt alignment shift with minimal thermal impact",
"immediate thermal surge in the rolling contact with negligible dynamic response",
"initial impact event followed by trapped debris causing continuous frictional heating",
"short-lived object contact that moves through"
] | 0 |
[
[
-0.525009134651459,
-1.330088782602427,
-1.7841687626039051,
-1.744063974978944,
-1.863052732816667,
-1.155417896278341,
-0.23134909537637402,
-1.169669632102584,
0.451759084624942,
-0.025521156649834002,
2.438440785579303,
0.640020287151155,
1.510725879376918,
... | [
"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: ["continue to observe the gradual decrease in lubrication and take action if the dynamics show changes", "keep tracking gradual misalignment and organize a precision alignment evaluation", "urgently assess the roller for significant heating and replace it if it's compromised", "verify immediately the machine alignment after abrupt alignment shift"] | suggested_fix | verify immediately the machine alignment after abrupt alignment shift | [
"verify immediately the machine alignment after abrupt alignment shift"
] | [
"MCQ_fix"
] | [
"continue to observe the gradual decrease in lubrication and take action if the dynamics show changes",
"keep tracking gradual misalignment and organize a precision alignment evaluation",
"urgently assess the roller for significant heating and replace it if it's compromised",
"verify immediately the machine a... | 3 |
[
[
-1.245702485669647,
-1.2602162605208669,
-1.274435554292064,
-1.253064537745259,
-1.25066661321506,
-1.272836921221916,
-1.256556259890554,
-1.267452110001472,
-1.260847298570925,
-1.270859680366748,
-1.5252503859931261,
-1.518813840510084,
-1.236068711658844,
... | [
"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 160 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 settles into a new stable band", "a parallel jump is detected in both vibration and temperature readings", "vibration surges rapidly but temperature does not deviate from baseline", "vibration and temperature both rise sharply"] | what_happened | vibration surges rapidly but temperature does not deviate from baseline | [
"vibration surges rapidly but temperature does not deviate from baseline"
] | [
"MCQ_obs"
] | [
"vibration settles into a new stable band",
"a parallel jump is detected in both vibration and temperature readings",
"vibration surges rapidly but temperature does not deviate from baseline",
"vibration and temperature both rise sharply"
] | 2 |
[
[
-1.245702485669647,
-1.2602162605208669,
-1.274435554292064,
-1.253064537745259,
-1.25066661321506,
-1.272836921221916,
-1.256556259890554,
-1.267452110001472,
-1.260847298570925,
-1.270859680366748,
-1.5252503859931261,
-1.518813840510084,
-1.236068711658844,
... | [
"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 160 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", "a sudden increase in friction along the rolling path with negligible dynamic variation", "gradual misalignment with rising dynamic conditions", "severe structural looseness without heat generation"] | how_happened | severe structural looseness without heat generation | [
"severe structural looseness without heat generation"
] | [
"MCQ_cause"
] | [
"brief foreign object strike that passes through",
"a sudden increase in friction along the rolling path with negligible dynamic variation",
"gradual misalignment with rising dynamic conditions",
"severe structural looseness without heat generation"
] | 3 |
[
[
-1.245702485669647,
-1.2602162605208669,
-1.274435554292064,
-1.253064537745259,
-1.25066661321506,
-1.272836921221916,
-1.256556259890554,
-1.267452110001472,
-1.260847298570925,
-1.270859680366748,
-1.5252503859931261,
-1.518813840510084,
-1.236068711658844,
... | [
"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 160 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 address product obstruction and verify the conveyor route", "monitor restart with immediate load application", "continue monitoring progressive gear wear and plan for gear inspection", "verify immediately the machine alignment after abrupt alignment shift"] | suggested_fix | verify immediately the machine alignment after abrupt alignment shift | [
"verify immediately the machine alignment after abrupt alignment shift"
] | [
"MCQ_fix"
] | [
"quickly address product obstruction and verify the conveyor route",
"monitor restart with immediate load application",
"continue monitoring progressive gear wear and plan for gear inspection",
"verify immediately the machine alignment after abrupt alignment shift"
] | 3 |
[
[
-2.417087751785629,
-0.075655905570035,
1.16811343427898,
-1.007135338943606,
-0.504125256615904,
0.001487120645431,
0.40523361724792906,
0.624022502799906,
-0.079745431946348,
-1.183170336918788,
-1.489883707169737,
-0.424937578009528,
-0.7266320545787051,
... | [
"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 rises abruptly while temperature stays near baseline", "both vibration and temperature increase slowly and concurrently", "vibration reaches to a newly established stable band", "temperature ascends gradually, with vibration staying within its usual range"] | what_happened | vibration rises abruptly while temperature stays near baseline | [
"vibration rises abruptly while temperature stays near baseline"
] | [
"MCQ_obs"
] | [
"vibration rises abruptly while temperature stays near baseline",
"both vibration and temperature increase slowly and concurrently",
"vibration reaches to a newly established stable band",
"temperature ascends gradually, with vibration staying within its usual range"
] | 0 |
[
[
-2.417087751785629,
-0.075655905570035,
1.16811343427898,
-1.007135338943606,
-0.504125256615904,
0.001487120645431,
0.40523361724792906,
0.624022502799906,
-0.079745431946348,
-1.183170336918788,
-1.489883707169737,
-0.424937578009528,
-0.7266320545787051,
... | [
"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 alignment deviation with no thermal response", "belt replacement or reset after servicing", "ongoing imbalance emergence within mechanical components"] | how_happened | immediate alignment deviation with no thermal response | [
"immediate alignment deviation with no thermal response"
] | [
"MCQ_cause"
] | [
"brief foreign object strike that passes through",
"immediate alignment deviation with no thermal response",
"belt replacement or reset after servicing",
"ongoing imbalance emergence within mechanical components"
] | 1 |
[
[
-2.417087751785629,
-0.075655905570035,
1.16811343427898,
-1.007135338943606,
-0.504125256615904,
0.001487120645431,
0.40523361724792906,
0.624022502799906,
-0.079745431946348,
-1.183170336918788,
-1.489883707169737,
-0.424937578009528,
-0.7266320545787051,
... | [
"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 look for any severe structural looseness and secure or repair as needed", "continue to observe the gradual decrease in lubrication and take action if the dynamics show changes", "quickly inspect for any abrupt lubrication loss and replace the bearing if it's impaired", "immediately stop the machine to replace the bearing that exhibits a rapid transition in wear"] | suggested_fix | immediately look for any severe structural looseness and secure or repair as needed | [
"immediately look for any severe structural looseness and secure or repair as needed"
] | [
"MCQ_fix"
] | [
"immediately look for any severe structural looseness and secure or repair as needed",
"continue to observe the gradual decrease in lubrication and take action if the dynamics show changes",
"quickly inspect for any abrupt lubrication loss and replace the bearing if it's impaired",
"immediately stop the machi... | 0 |
[
[
3.519730103087181,
1.375263409829718,
-0.15115205875141402,
2.066710227936332,
-6.461618737246595,
0.254100052595753,
2.029648880849678,
1.149383413395314,
-0.303030063200987,
-0.368432746159899,
-0.231693337244001,
0.33500459269863503,
-0.165200869454201,
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: ["both vibration and temperature readings indicate a parallel jump", "vibration halts, followed by a concurrent rise in both vibration and temperature", "a singular spike in vibration is followed by a notable rise in temperature", "an sudden rise in vibration happens with temperature staying unchanged"] | what_happened | an sudden rise in vibration happens with temperature staying unchanged | [
"an sudden rise in vibration happens with temperature staying unchanged"
] | [
"MCQ_obs"
] | [
"both vibration and temperature readings indicate a parallel jump",
"vibration halts, followed by a concurrent rise in both vibration and temperature",
"a singular spike in vibration is followed by a notable rise in temperature",
"an sudden rise in vibration happens with temperature staying unchanged"
] | 3 |
[
[
3.519730103087181,
1.375263409829718,
-0.15115205875141402,
2.066710227936332,
-6.461618737246595,
0.254100052595753,
2.029648880849678,
1.149383413395314,
-0.303030063200987,
-0.368432746159899,
-0.231693337244001,
0.33500459269863503,
-0.165200869454201,
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: ["gradual misalignment with rising dynamic conditions", "alterations in running condition due to belt splice rework", "quick onset of wear in bearings or gears", "sudden mechanical imbalance occurrence without corresponding heat buildup"] | how_happened | sudden mechanical imbalance occurrence without corresponding heat buildup | [
"sudden mechanical imbalance occurrence without corresponding heat buildup"
] | [
"MCQ_cause"
] | [
"gradual misalignment with rising dynamic conditions",
"alterations in running condition due to belt splice rework",
"quick onset of wear in bearings or gears",
"sudden mechanical imbalance occurrence without corresponding heat buildup"
] | 3 |
[
[
3.519730103087181,
1.375263409829718,
-0.15115205875141402,
2.066710227936332,
-6.461618737246595,
0.254100052595753,
2.029648880849678,
1.149383413395314,
-0.303030063200987,
-0.368432746159899,
-0.231693337244001,
0.33500459269863503,
-0.165200869454201,
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 restart with immediate load application", "stop machine operation immediately and substitute the bearing that shows an abrupt wear shift", "immediately assess for any drastic imbalance and proceed with corrective balancing", "quickly address product obstruction and verify the conveyor route"] | suggested_fix | immediately assess for any drastic imbalance and proceed with corrective balancing | [
"immediately assess for any drastic imbalance and proceed with corrective balancing"
] | [
"MCQ_fix"
] | [
"monitor restart with immediate load application",
"stop machine operation immediately and substitute the bearing that shows an abrupt wear shift",
"immediately assess for any drastic imbalance and proceed with corrective balancing",
"quickly address product obstruction and verify the conveyor route"
] | 2 |
[
[
0.31707645684768004,
0.386669072710815,
0.073474401828409,
-0.7516782089584501,
0.19510655689401302,
1.820207800927341,
-0.16287029619579801,
0.16326384008046002,
-0.48394094179517005,
-0.250521935390677,
0.78025775752863,
-0.6523806753389341,
-0.427681871739363... | [
"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 experiences an isolated spike before temperature significantly rises", "vibration rises abruptly while temperature stays near baseline", "vibration and temperature increase sharply in parallel", "a rapid temperature rise is noted while vibration remains stable at its baseline"] | what_happened | vibration rises abruptly while temperature stays near baseline | [
"vibration rises abruptly while temperature stays near baseline"
] | [
"MCQ_obs"
] | [
"vibration experiences an isolated spike before temperature significantly rises",
"vibration rises abruptly while temperature stays near baseline",
"vibration and temperature increase sharply in parallel",
"a rapid temperature rise is noted while vibration remains stable at its baseline"
] | 1 |
[
[
0.31707645684768004,
0.386669072710815,
0.073474401828409,
-0.7516782089584501,
0.19510655689401302,
1.820207800927341,
-0.16287029619579801,
0.16326384008046002,
-0.48394094179517005,
-0.250521935390677,
0.78025775752863,
-0.6523806753389341,
-0.427681871739363... | [
"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 alignment deviation with no thermal response", "steady alignment shift due to heightened dynamics", "incremental degradation of gear", "rapid deterioration of gear or bearing due to wear"] | how_happened | immediate alignment deviation with no thermal response | [
"immediate alignment deviation with no thermal response"
] | [
"MCQ_cause"
] | [
"immediate alignment deviation with no thermal response",
"steady alignment shift due to heightened dynamics",
"incremental degradation of gear",
"rapid deterioration of gear or bearing due to wear"
] | 0 |
[
[
0.31707645684768004,
0.386669072710815,
0.073474401828409,
-0.7516782089584501,
0.19510655689401302,
1.820207800927341,
-0.16287029619579801,
0.16326384008046002,
-0.48394094179517005,
-0.250521935390677,
0.78025775752863,
-0.6523806753389341,
-0.427681871739363... | [
"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: ["record restart events alongside immediate load activation", "check for severe structural looseness and secure or repair immediately", "monitor gradual lubrication loss closely and intervene if dynamics begin to change", "track progressive structural looseness and schedule inspection before progression"] | suggested_fix | check for severe structural looseness and secure or repair immediately | [
"check for severe structural looseness and secure or repair immediately"
] | [
"MCQ_fix"
] | [
"record restart events alongside immediate load activation",
"check for severe structural looseness and secure or repair immediately",
"monitor gradual lubrication loss closely and intervene if dynamics begin to change",
"track progressive structural looseness and schedule inspection before progression"
] | 1 |
[
[
0.8399278694277611,
0.749852283112161,
-7.258443688280446,
0.7538000471561611,
1.363514834959125,
0.39636825854040403,
-0.058854111706242,
-7.2510869176327475,
-7.258443688280446,
-7.258443688280446,
0.10891559289706002,
0.7582859870960591,
0.318314785918398,
... | [
"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 and temperature increase sharply in parallel", "an abrupt rise in temperature occurs as vibration remains at normal levels", "a single vibration spike precedes a sharp temperature rise", "vibration rises abruptly while temperature stays near baseline"] | what_happened | vibration rises abruptly while temperature stays near baseline | [
"vibration rises abruptly while temperature stays near baseline"
] | [
"MCQ_obs"
] | [
"vibration and temperature increase sharply in parallel",
"an abrupt rise in temperature occurs as vibration remains at normal levels",
"a single vibration spike precedes a sharp temperature rise",
"vibration rises abruptly while temperature stays near baseline"
] | 3 |
[
[
0.8399278694277611,
0.749852283112161,
-7.258443688280446,
0.7538000471561611,
1.363514834959125,
0.39636825854040403,
-0.058854111706242,
-7.2510869176327475,
-7.258443688280446,
-7.258443688280446,
0.10891559289706002,
0.7582859870960591,
0.318314785918398,
... | [
"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: ["belt replacement or reset after servicing", "rapid structural imbalance with negligible heat change", "gradual misalignment with rising dynamic conditions", "short encounter with an alien object that quickly departs"] | how_happened | rapid structural imbalance with negligible heat change | [
"rapid structural imbalance with negligible heat change"
] | [
"MCQ_cause"
] | [
"belt replacement or reset after servicing",
"rapid structural imbalance with negligible heat change",
"gradual misalignment with rising dynamic conditions",
"short encounter with an alien object that quickly departs"
] | 1 |
[
[
0.8399278694277611,
0.749852283112161,
-7.258443688280446,
0.7538000471561611,
1.363514834959125,
0.39636825854040403,
-0.058854111706242,
-7.2510869176327475,
-7.258443688280446,
-7.258443688280446,
0.10891559289706002,
0.7582859870960591,
0.318314785918398,
... | [
"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: ["maintain surveillance of early heat rise and arrange for inspection", "urgently evaluate for major structural looseness and take steps to secure or fix it", "urgently assess the roller for significant heating and replace it if it's compromised", "clear product jam immediately and inspect conveyor path"] | suggested_fix | urgently evaluate for major structural looseness and take steps to secure or fix it | [
"urgently evaluate for major structural looseness and take steps to secure or fix it"
] | [
"MCQ_fix"
] | [
"maintain surveillance of early heat rise and arrange for inspection",
"urgently evaluate for major structural looseness and take steps to secure or fix it",
"urgently assess the roller for significant heating and replace it if it's compromised",
"clear product jam immediately and inspect conveyor path"
] | 1 |
[
[
-0.16212884418307402,
-0.6816578551347271,
-0.21856011226128602,
1.062344675972515,
-0.5069887291564941,
-0.500718588258915,
1.089217013477364,
0.488176170857184,
-0.129883320541199,
-0.6762825333911281,
0.545504393695948,
-0.31709272831459,
1.41168292792898,
... | [
"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 165 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 climb together slowly", "vibration climbs rapidly with temperature remaining consistent", "vibration subsides, and then both vibration and temperature start to increase concurrently", "vibration stabilizes within a different consistent range"] | what_happened | vibration climbs rapidly with temperature remaining consistent | [
"vibration climbs rapidly with temperature remaining consistent"
] | [
"MCQ_obs"
] | [
"vibration and temperature climb together slowly",
"vibration climbs rapidly with temperature remaining consistent",
"vibration subsides, and then both vibration and temperature start to increase concurrently",
"vibration stabilizes within a different consistent range"
] | 1 |
[
[
-0.16212884418307402,
-0.6816578551347271,
-0.21856011226128602,
1.062344675972515,
-0.5069887291564941,
-0.500718588258915,
1.089217013477364,
0.488176170857184,
-0.129883320541199,
-0.6762825333911281,
0.545504393695948,
-0.31709272831459,
1.41168292792898,
... | [
"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 165 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: ["steady alignment shift due to heightened dynamics", "short-lived object contact that moves through", "severe structural looseness without heat generation", "slow degradation caused by gear wear"] | how_happened | severe structural looseness without heat generation | [
"severe structural looseness without heat generation"
] | [
"MCQ_cause"
] | [
"steady alignment shift due to heightened dynamics",
"short-lived object contact that moves through",
"severe structural looseness without heat generation",
"slow degradation caused by gear wear"
] | 2 |
[
[
-0.16212884418307402,
-0.6816578551347271,
-0.21856011226128602,
1.062344675972515,
-0.5069887291564941,
-0.500718588258915,
1.089217013477364,
0.488176170857184,
-0.129883320541199,
-0.6762825333911281,
0.545504393695948,
-0.31709272831459,
1.41168292792898,
... | [
"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 165 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", "log restart events with instant load engagement", "check that the belt replacement or resetting was executed correctly", "immediately look for any severe structural looseness and secure or repair as needed"] | suggested_fix | immediately look for any severe structural looseness and secure or repair as needed | [
"immediately look for any severe structural looseness and secure or repair as needed"
] | [
"MCQ_fix"
] | [
"take urgent action to investigate abrupt friction surge and verify roller surface condition",
"log restart events with instant load engagement",
"check that the belt replacement or resetting was executed correctly",
"immediately look for any severe structural looseness and secure or repair as needed"
] | 3 |
[
[
-25.330085755769268,
-25.309574931568502,
-0.08756588938201301,
-25.37426296984107,
1.113106394108414,
-0.9427086691617411,
-25.336396769557812,
1.021596400294541,
0.08440985350377701,
-0.302140593296504,
-25.35217436280517,
0.6429360431898491,
-1.45074768895539... | [
"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 increases sharply while the temperature remains stable", "a short-lived vibration spike appears, returning to its baseline while the temperature remains unchanged.", "vibration adjusts to a new steady band", "a one-time spike in vibration is followed by a notable increase in temperature"] | what_happened | vibration increases sharply while the temperature remains stable | [
"vibration increases sharply while the temperature remains stable"
] | [
"MCQ_obs"
] | [
"vibration increases sharply while the temperature remains stable",
"a short-lived vibration spike appears, returning to its baseline while the temperature remains unchanged.",
"vibration adjusts to a new steady band",
"a one-time spike in vibration is followed by a notable increase in temperature"
] | 0 |
[
[
-25.330085755769268,
-25.309574931568502,
-0.08756588938201301,
-25.37426296984107,
1.113106394108414,
-0.9427086691617411,
-25.336396769557812,
1.021596400294541,
0.08440985350377701,
-0.302140593296504,
-25.35217436280517,
0.6429360431898491,
-1.45074768895539... | [
"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: ["initial contact shock followed by sustained belt rubbing against structure", "immediate alignment deviation with no thermal response", "steady alignment shift due to heightened dynamics", "sudden bearing wear transition"] | how_happened | immediate alignment deviation with no thermal response | [
"immediate alignment deviation with no thermal response"
] | [
"MCQ_cause"
] | [
"initial contact shock followed by sustained belt rubbing against structure",
"immediate alignment deviation with no thermal response",
"steady alignment shift due to heightened dynamics",
"sudden bearing wear transition"
] | 1 |
[
[
-25.330085755769268,
-25.309574931568502,
-0.08756588938201301,
-25.37426296984107,
1.113106394108414,
-0.9427086691617411,
-25.336396769557812,
1.021596400294541,
0.08440985350377701,
-0.302140593296504,
-25.35217436280517,
0.6429360431898491,
-1.45074768895539... | [
"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: ["examine for any object that could have struck and become lodged, then clear the conveyor route to stop friction", "immediately look for any severe structural looseness and secure or repair as needed", "confirm belt tension has been readjusted", "monitor scheduled stop and restart events"] | suggested_fix | immediately look for any severe structural looseness and secure or repair as needed | [
"immediately look for any severe structural looseness and secure or repair as needed"
] | [
"MCQ_fix"
] | [
"examine for any object that could have struck and become lodged, then clear the conveyor route to stop friction",
"immediately look for any severe structural looseness and secure or repair as needed",
"confirm belt tension has been readjusted",
"monitor scheduled stop and restart events"
] | 1 |
[
[
1.201474959832643,
-9.094478430154332,
-9.104634181659314,
-1.374370837736282,
0.8135746661080581,
1.940368714814222,
0.079636350548432,
0.36424487675806605,
0.46332531802847604,
1.276280775671045,
0.829179782457206,
0.37167596890994803,
0.7147422625634511,
... | [
"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 gradually rises over many hours while temperature remains near baseline", "temperature rises sharply while vibration stays near baseline", "temperature and vibration experience a sharp concurrent rise", "an sudden rise in vibration happens with temperature staying unchanged"] | what_happened | an sudden rise in vibration happens with temperature staying unchanged | [
"an sudden rise in vibration happens with temperature staying unchanged"
] | [
"MCQ_obs"
] | [
"vibration gradually rises over many hours while temperature remains near baseline",
"temperature rises sharply while vibration stays near baseline",
"temperature and vibration experience a sharp concurrent rise",
"an sudden rise in vibration happens with temperature staying unchanged"
] | 3 |
[
[
1.201474959832643,
-9.094478430154332,
-9.104634181659314,
-1.374370837736282,
0.8135746661080581,
1.940368714814222,
0.079636350548432,
0.36424487675806605,
0.46332531802847604,
1.276280775671045,
0.829179782457206,
0.37167596890994803,
0.7147422625634511,
... | [
"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: ["short encounter with an alien object that quickly departs", "ongoing friction increase without dynamic disturbance", "sudden mechanical imbalance occurrence without corresponding heat buildup", "sudden product jam creating immediate shock impact and friction surge"] | how_happened | sudden mechanical imbalance occurrence without corresponding heat buildup | [
"sudden mechanical imbalance occurrence without corresponding heat buildup"
] | [
"MCQ_cause"
] | [
"short encounter with an alien object that quickly departs",
"ongoing friction increase without dynamic disturbance",
"sudden mechanical imbalance occurrence without corresponding heat buildup",
"sudden product jam creating immediate shock impact and friction surge"
] | 2 |
[
[
1.201474959832643,
-9.094478430154332,
-9.104634181659314,
-1.374370837736282,
0.8135746661080581,
1.940368714814222,
0.079636350548432,
0.36424487675806605,
0.46332531802847604,
1.276280775671045,
0.829179782457206,
0.37167596890994803,
0.7147422625634511,
... | [
"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: ["verify belt replacement or reset was performed correctly", "observe for a fleeting strike by a foreign object", "immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty", "immediately assess for any drastic imbalance and proceed with corrective balancing"] | suggested_fix | immediately assess for any drastic imbalance and proceed with corrective balancing | [
"immediately assess for any drastic imbalance and proceed with corrective balancing"
] | [
"MCQ_fix"
] | [
"verify belt replacement or reset was performed correctly",
"observe for a fleeting strike by a foreign object",
"immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty",
"immediately assess for any drastic imbalance and proceed with corrective balancing"
] | 3 |
[
[
-0.44907529939352003,
-0.35905964411164704,
-0.391906506206585,
-0.25939054054973104,
-2.252146708584462,
-2.249137828911294,
-0.418485023494711,
-0.467379368390455,
-0.36758472456728003,
-2.247006535445402,
-2.250516898956095,
-2.247006535445402,
-0.05390908052... | [
"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: ["both temperature and vibration rise sharply in coordination", "a brief spike in vibration occurs and quickly returns to normal, with the temperature remaining stable.", "an sudden rise in vibration happens with temperature staying unchanged", "vibration subsides, and then both vibration and temperature start to increase concurrently"] | what_happened | an sudden rise in vibration happens with temperature staying unchanged | [
"an sudden rise in vibration happens with temperature staying unchanged"
] | [
"MCQ_obs"
] | [
"both temperature and vibration rise sharply in coordination",
"a brief spike in vibration occurs and quickly returns to normal, with the temperature remaining stable.",
"an sudden rise in vibration happens with temperature staying unchanged",
"vibration subsides, and then both vibration and temperature start... | 2 |
[
[
-0.44907529939352003,
-0.35905964411164704,
-0.391906506206585,
-0.25939054054973104,
-2.252146708584462,
-2.249137828911294,
-0.418485023494711,
-0.467379368390455,
-0.36758472456728003,
-2.247006535445402,
-2.250516898956095,
-2.247006535445402,
-0.05390908052... | [
"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: ["alterations in running condition due to belt splice rework", "a sudden increase in friction along the rolling path with negligible dynamic variation", "sudden belt strike against structure causing immediate friction spike and dynamic shock", "abrupt alignment shift with minimal thermal impact"] | how_happened | abrupt alignment shift with minimal thermal impact | [
"abrupt alignment shift with minimal thermal impact"
] | [
"MCQ_cause"
] | [
"alterations in running condition due to belt splice rework",
"a sudden increase in friction along the rolling path with negligible dynamic variation",
"sudden belt strike against structure causing immediate friction spike and dynamic shock",
"abrupt alignment shift with minimal thermal impact"
] | 3 |
[
[
-0.44907529939352003,
-0.35905964411164704,
-0.391906506206585,
-0.25939054054973104,
-2.252146708584462,
-2.249137828911294,
-0.418485023494711,
-0.467379368390455,
-0.36758472456728003,
-2.247006535445402,
-2.250516898956095,
-2.247006535445402,
-0.05390908052... | [
"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: ["urgently evaluate for major structural looseness and take steps to secure or fix it", "immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty", "track the slow progression of wear-related issues and set up an inspection", "ensure continuous monitoring of slow imbalance changes and set up balancing maintenance"] | suggested_fix | urgently evaluate for major structural looseness and take steps to secure or fix it | [
"urgently evaluate for major structural looseness and take steps to secure or fix it"
] | [
"MCQ_fix"
] | [
"urgently evaluate for major structural looseness and take steps to secure or fix it",
"immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty",
"track the slow progression of wear-related issues and set up an inspection",
"ensure continuous monitoring of slow imbalance c... | 0 |
[
[
-0.12648711326602502,
-0.19648592700946502,
-0.15775806115069602,
-0.157517523118012,
-0.10720330392332801,
-0.7913559825393821,
-0.7919974387001191,
-0.167901090706152,
-0.149218698133432,
-0.139997770863414,
-0.149579481286369,
-0.16060451548978502,
-0.1585999... | [
"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: ["temperature ascends gradually, with vibration staying within its usual range", "a fast climb in vibration is observed without a corresponding temperature change", "a rapid transition yields a different sustained vibration level", "vibration and temperature climb together slowly"] | what_happened | a fast climb in vibration is observed without a corresponding temperature change | [
"a fast climb in vibration is observed without a corresponding temperature change"
] | [
"MCQ_obs"
] | [
"temperature ascends gradually, with vibration staying within its usual range",
"a fast climb in vibration is observed without a corresponding temperature change",
"a rapid transition yields a different sustained vibration level",
"vibration and temperature climb together slowly"
] | 1 |
[
[
-0.12648711326602502,
-0.19648592700946502,
-0.15775806115069602,
-0.157517523118012,
-0.10720330392332801,
-0.7913559825393821,
-0.7919974387001191,
-0.167901090706152,
-0.149218698133432,
-0.139997770863414,
-0.149579481286369,
-0.16060451548978502,
-0.1585999... | [
"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: ["immediate thermal surge in the rolling contact with negligible dynamic response", "ongoing imbalance emergence within mechanical components", "abrupt alignment shift with minimal thermal impact", "ongoing friction increase without dynamic disturbance"] | how_happened | abrupt alignment shift with minimal thermal impact | [
"abrupt alignment shift with minimal thermal impact"
] | [
"MCQ_cause"
] | [
"immediate thermal surge in the rolling contact with negligible dynamic response",
"ongoing imbalance emergence within mechanical components",
"abrupt alignment shift with minimal thermal impact",
"ongoing friction increase without dynamic disturbance"
] | 2 |
[
[
-0.12648711326602502,
-0.19648592700946502,
-0.15775806115069602,
-0.157517523118012,
-0.10720330392332801,
-0.7913559825393821,
-0.7919974387001191,
-0.167901090706152,
-0.149218698133432,
-0.139997770863414,
-0.149579481286369,
-0.16060451548978502,
-0.1585999... | [
"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: ["urgently assess the roller for significant heating and replace it if it's compromised", "ensure continuous monitoring of slow imbalance changes and set up balancing maintenance", "check for severe structural looseness and secure or repair immediately", "inspect belt tracking immediately and remove contact against structure"] | suggested_fix | check for severe structural looseness and secure or repair immediately | [
"check for severe structural looseness and secure or repair immediately"
] | [
"MCQ_fix"
] | [
"urgently assess the roller for significant heating and replace it if it's compromised",
"ensure continuous monitoring of slow imbalance changes and set up balancing maintenance",
"check for severe structural looseness and secure or repair immediately",
"inspect belt tracking immediately and remove contact ag... | 2 |
[
[
-0.515787225252025,
0.6744907594765951,
-2.14250214616474,
311.65458338804314,
1.9044453667835342,
-0.6348156149426281,
-2.14250214616474,
0,
0.59513899236431,
0,
-0.6348156149426281,
-1.190277984728621,
0,
-2.14250214616474,
-2.658289371416766,
-2.1... | [
"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 exhibits an isolated spike, after which there is a sharp rise in temperature", "temperature and vibration readings show a simultaneous jump", "vibration reaches a new steady band", "temperature ascends gradually, with vibration staying within its usual range"] | what_happened | temperature and vibration readings show a simultaneous jump | [
"temperature and vibration readings show a simultaneous jump"
] | [
"MCQ_obs"
] | [
"vibration exhibits an isolated spike, after which there is a sharp rise in temperature",
"temperature and vibration readings show a simultaneous jump",
"vibration reaches a new steady band",
"temperature ascends gradually, with vibration staying within its usual range"
] | 1 |
[
[
-0.515787225252025,
0.6744907594765951,
-2.14250214616474,
311.65458338804314,
1.9044453667835342,
-0.6348156149426281,
-2.14250214616474,
0,
0.59513899236431,
0,
-0.6348156149426281,
-1.190277984728621,
0,
-2.14250214616474,
-2.658289371416766,
-2.1... | [
"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: ["sudden imbalance event in mechanics with negligible thermal change", "modifications in operational conditions from belt tension adjustment", "sudden product jam creating immediate shock impact and friction surge", "sudden impact event followed by trapped material causing continuous rubbing against components"] | how_happened | sudden product jam creating immediate shock impact and friction surge | [
"sudden product jam creating immediate shock impact and friction surge"
] | [
"MCQ_cause"
] | [
"sudden imbalance event in mechanics with negligible thermal change",
"modifications in operational conditions from belt tension adjustment",
"sudden product jam creating immediate shock impact and friction surge",
"sudden impact event followed by trapped material causing continuous rubbing against components... | 2 |
[
[
-0.515787225252025,
0.6744907594765951,
-2.14250214616474,
311.65458338804314,
1.9044453667835342,
-0.6348156149426281,
-2.14250214616474,
0,
0.59513899236431,
0,
-0.6348156149426281,
-1.190277984728621,
0,
-2.14250214616474,
-2.658289371416766,
-2.1... | [
"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: ["clear product jam immediately and inspect conveyor path", "inspect conveyor for temporary debris impact", "continue to observe the gradual decrease in lubrication and take action if the dynamics show changes", "urgently evaluate for major structural looseness and take steps to secure or fix it"] | suggested_fix | clear product jam immediately and inspect conveyor path | [
"clear product jam immediately and inspect conveyor path"
] | [
"MCQ_fix"
] | [
"clear product jam immediately and inspect conveyor path",
"inspect conveyor for temporary debris impact",
"continue to observe the gradual decrease in lubrication and take action if the dynamics show changes",
"urgently evaluate for major structural looseness and take steps to secure or fix it"
] | 0 |
[
[
-0.210777086370033,
0,
0.632335970370663,
-0.843113056740697,
-3.098439030883387,
0.40047913381738204,
-0.421555743160254,
0,
0,
0,
-0.421555743160254,
0.632335970370663,
0,
-0.843113056740697,
0.421557313580442,
-1.66514714850824,
-2.06562628232... | [
"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 stabilizes within a different consistent range", "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", "a sudden parallel jump is observed in vibration and temperature"] | what_happened | a sudden parallel jump is observed in vibration and temperature | [
"a sudden parallel jump is observed in vibration and temperature"
] | [
"MCQ_obs"
] | [
"vibration stabilizes within a different consistent range",
"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",
"a sudden parallel jump is observed in ... | 3 |
[
[
-0.210777086370033,
0,
0.632335970370663,
-0.843113056740697,
-3.098439030883387,
0.40047913381738204,
-0.421555743160254,
0,
0,
0,
-0.421555743160254,
0.632335970370663,
0,
-0.843113056740697,
0.421557313580442,
-1.66514714850824,
-2.06562628232... | [
"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: ["external object strike that subsequently lodges and maintains continuous friction", "abrupt structural looseness without thermal effect", "sudden product jam creating immediate shock impact and friction surge", "planned downtime followed by system relaunch with normal startup sequence"] | how_happened | sudden product jam creating immediate shock impact and friction surge | [
"sudden product jam creating immediate shock impact and friction surge"
] | [
"MCQ_cause"
] | [
"external object strike that subsequently lodges and maintains continuous friction",
"abrupt structural looseness without thermal effect",
"sudden product jam creating immediate shock impact and friction surge",
"planned downtime followed by system relaunch with normal startup sequence"
] | 2 |
[
[
-0.210777086370033,
0,
0.632335970370663,
-0.843113056740697,
-3.098439030883387,
0.40047913381738204,
-0.421555743160254,
0,
0,
0,
-0.421555743160254,
0.632335970370663,
0,
-0.843113056740697,
0.421557313580442,
-1.66514714850824,
-2.06562628232... | [
"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: ["immediately resolve product blockage and assess conveyor pathway", "immediately check for a sudden alignment change and ensure proper machine alignment", "immediately scrutinize the roller for intense heat and substitute it if it shows damage", "ensure continuous monitoring of slow imbalance changes and set up balancing maintenance"] | suggested_fix | immediately resolve product blockage and assess conveyor pathway | [
"immediately resolve product blockage and assess conveyor pathway"
] | [
"MCQ_fix"
] | [
"immediately resolve product blockage and assess conveyor pathway",
"immediately check for a sudden alignment change and ensure proper machine alignment",
"immediately scrutinize the roller for intense heat and substitute it if it shows damage",
"ensure continuous monitoring of slow imbalance changes and set ... | 0 |
[
[
1.089328650697378,
0.647045817069679,
0.7874327765225281,
1.140424562304698,
0.022386009925145,
1.049615563328858,
-3.546610330714483,
-3.482361061788605,
0.255479256496845,
0.608344395581611,
0.8959484914941981,
0.7131921809646631,
1.012178799576294,
0.8929... | [
"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: ["vibration ceases, then both vibration and temperature ramp up together", "there is a temporary spike in vibration that normalizes as the temperature continues at its usual level.", "temperature climbs gradually with vibration tracking normal", "a parallel jump is detected in both vibration and temperature readings"] | what_happened | a parallel jump is detected in both vibration and temperature readings | [
"a parallel jump is detected in both vibration and temperature readings"
] | [
"MCQ_obs"
] | [
"vibration ceases, then both vibration and temperature ramp up together",
"there is a temporary spike in vibration that normalizes as the temperature continues at its usual level.",
"temperature climbs gradually with vibration tracking normal",
"a parallel jump is detected in both vibration and temperature re... | 3 |
[
[
1.089328650697378,
0.647045817069679,
0.7874327765225281,
1.140424562304698,
0.022386009925145,
1.049615563328858,
-3.546610330714483,
-3.482361061788605,
0.255479256496845,
0.608344395581611,
0.8959484914941981,
0.7131921809646631,
1.012178799576294,
0.8929... | [
"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: ["a sudden increase in friction along the rolling path with negligible dynamic variation", "immediate belt-to-structure collision triggering sharp friction and dynamic jump", "initial contact shock followed by sustained belt rubbing against structure", "rapid structural imbalance with negligible heat change"] | how_happened | immediate belt-to-structure collision triggering sharp friction and dynamic jump | [
"immediate belt-to-structure collision triggering sharp friction and dynamic jump"
] | [
"MCQ_cause"
] | [
"a sudden increase in friction along the rolling path with negligible dynamic variation",
"immediate belt-to-structure collision triggering sharp friction and dynamic jump",
"initial contact shock followed by sustained belt rubbing against structure",
"rapid structural imbalance with negligible heat change"
] | 1 |
[
[
1.089328650697378,
0.647045817069679,
0.7874327765225281,
1.140424562304698,
0.022386009925145,
1.049615563328858,
-3.546610330714483,
-3.482361061788605,
0.255479256496845,
0.608344395581611,
0.8959484914941981,
0.7131921809646631,
1.012178799576294,
0.8929... | [
"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", "track restart with immediate load pickup", "quickly check rollers for potential lock-up when loaded", "keep tracking the progressive deterioration due to wear and schedule an evaluation"] | suggested_fix | quickly check rollers for potential lock-up when loaded | [
"quickly check rollers for potential lock-up when loaded"
] | [
"MCQ_fix"
] | [
"detect short-lived contact with external objects",
"track restart with immediate load pickup",
"quickly check rollers for potential lock-up when loaded",
"keep tracking the progressive deterioration due to wear and schedule an evaluation"
] | 2 |
[
[
6.357077520284029,
1.129772642439848,
-0.505867991086363,
2.5293418399378,
3.89518529023725,
3.6591132260403283,
4.586538923313096,
1.416431757012871,
3.574802941140368,
5.277892556388942,
4.586538923313096,
4.519089941590735,
3.89518529023725,
4.35046685911... | [
"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: ["there is a concurrent jump in vibration and temperature", "a sharp temperature increase appears while vibration stays within its normal range", "vibration drops to a low level then both vibration and temperature rise together", "a gentle increase is observed in both vibration and temperature simultaneously"] | what_happened | there is a concurrent jump in vibration and temperature | [
"there is a concurrent jump in vibration and temperature"
] | [
"MCQ_obs"
] | [
"there is a concurrent jump in vibration and temperature",
"a sharp temperature increase appears while vibration stays within its normal range",
"vibration drops to a low level then both vibration and temperature rise together",
"a gentle increase is observed in both vibration and temperature simultaneously"
... | 0 |
[
[
6.357077520284029,
1.129772642439848,
-0.505867991086363,
2.5293418399378,
3.89518529023725,
3.6591132260403283,
4.586538923313096,
1.416431757012871,
3.574802941140368,
5.277892556388942,
4.586538923313096,
4.519089941590735,
3.89518529023725,
4.35046685911... | [
"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: ["quick hit from a foreign object that exits immediately", "progressive deterioration of the gear system", "gradual misalignment with rising dynamic conditions", "abrupt roller lock under load with immediate friction surge and dynamic impact"] | how_happened | abrupt roller lock under load with immediate friction surge and dynamic impact | [
"abrupt roller lock under load with immediate friction surge and dynamic impact"
] | [
"MCQ_cause"
] | [
"quick hit from a foreign object that exits immediately",
"progressive deterioration of the gear system",
"gradual misalignment with rising dynamic conditions",
"abrupt roller lock under load with immediate friction surge and dynamic impact"
] | 3 |
[
[
6.357077520284029,
1.129772642439848,
-0.505867991086363,
2.5293418399378,
3.89518529023725,
3.6591132260403283,
4.586538923313096,
1.416431757012871,
3.574802941140368,
5.277892556388942,
4.586538923313096,
4.519089941590735,
3.89518529023725,
4.35046685911... | [
"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: ["monitor for brief foreign object strike", "continue monitoring progressive gear wear and plan for gear inspection", "track progressive structural looseness and schedule inspection before progression", "immediately resolve product blockage and assess conveyor pathway"] | suggested_fix | immediately resolve product blockage and assess conveyor pathway | [
"immediately resolve product blockage and assess conveyor pathway"
] | [
"MCQ_fix"
] | [
"monitor for brief foreign object strike",
"continue monitoring progressive gear wear and plan for gear inspection",
"track progressive structural looseness and schedule inspection before progression",
"immediately resolve product blockage and assess conveyor pathway"
] | 3 |
[
[
0.7631008460917821,
-0.8437744303935951,
0.408662076210755,
1.715323465724556,
1.028929529357621,
-0.310794313476353,
1.468010134697147,
-0.21028262655054702,
0.6678785841285041,
-0.20895987616498501,
1.649195405924766,
1.690194361558314,
1.34898151895319,
-... | [
"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 reaches to a newly established stable band", "vibration momentarily spikes and then settles while temperature stays steady", "vibration pauses, after which both vibration and temperature increase simultaneously", "there is a concurrent jump in vibration and temperature"] | what_happened | there is a concurrent jump in vibration and temperature | [
"there is a concurrent jump in vibration and temperature"
] | [
"MCQ_obs"
] | [
"vibration reaches to a newly established stable band",
"vibration momentarily spikes and then settles while temperature stays steady",
"vibration pauses, after which both vibration and temperature increase simultaneously",
"there is a concurrent jump in vibration and temperature"
] | 3 |
[
[
0.7631008460917821,
-0.8437744303935951,
0.408662076210755,
1.715323465724556,
1.028929529357621,
-0.310794313476353,
1.468010134697147,
-0.21028262655054702,
0.6678785841285041,
-0.20895987616498501,
1.649195405924766,
1.690194361558314,
1.34898151895319,
-... | [
"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: ["steady loss of lubrication with limited change in dynamics", "abrupt friction surge on the rolling path with minimal dynamics change", "sudden belt strike against structure causing immediate friction spike and dynamic shock", "immediate alignment deviation with no thermal response"] | how_happened | sudden belt strike against structure causing immediate friction spike and dynamic shock | [
"sudden belt strike against structure causing immediate friction spike and dynamic shock"
] | [
"MCQ_cause"
] | [
"steady loss of lubrication with limited change in dynamics",
"abrupt friction surge on the rolling path with minimal dynamics change",
"sudden belt strike against structure causing immediate friction spike and dynamic shock",
"immediate alignment deviation with no thermal response"
] | 2 |
[
[
0.7631008460917821,
-0.8437744303935951,
0.408662076210755,
1.715323465724556,
1.028929529357621,
-0.310794313476353,
1.468010134697147,
-0.21028262655054702,
0.6678785841285041,
-0.20895987616498501,
1.649195405924766,
1.690194361558314,
1.34898151895319,
-... | [
"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: ["immediately check for a sudden alignment change and ensure proper machine alignment", "track restart with immediate load pickup", "monitor for brief foreign object strike", "quickly address product obstruction and verify the conveyor route"] | suggested_fix | quickly address product obstruction and verify the conveyor route | [
"quickly address product obstruction and verify the conveyor route"
] | [
"MCQ_fix"
] | [
"immediately check for a sudden alignment change and ensure proper machine alignment",
"track restart with immediate load pickup",
"monitor for brief foreign object strike",
"quickly address product obstruction and verify the conveyor route"
] | 3 |
[
[
0.8726656017969571,
2.430252926877051,
2.781405567587972,
0.6744907594765951,
-0.5771409688223811,
-0.18774491466796803,
0.6466772736854961,
-0.208604769972755,
-9.415056240246356,
2.694486740740299,
1.922646190609489,
1.714041420636734,
2.951765887963087,
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 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: ["a single vibration spike precedes a sharp temperature rise", "an abrupt rise in temperature occurs as vibration remains at normal levels", "vibration and temperature both rise sharply", "both vibration and temperature show a sudden jump"] | what_happened | vibration and temperature both rise sharply | [
"both vibration and temperature show a sudden jump"
] | [
"MCQ_obs"
] | [
"a single vibration spike precedes a sharp temperature rise",
"an abrupt rise in temperature occurs as vibration remains at normal levels",
"vibration and temperature both rise sharply",
"both vibration and temperature show a sudden jump"
] | 2 |
[
[
0.8726656017969571,
2.430252926877051,
2.781405567587972,
0.6744907594765951,
-0.5771409688223811,
-0.18774491466796803,
0.6466772736854961,
-0.208604769972755,
-9.415056240246356,
2.694486740740299,
1.922646190609489,
1.714041420636734,
2.951765887963087,
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 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: ["foreign material collision that gets stuck and sustains persistent rubbing contact", "abrupt wear-related breakdown in bearing or gear", "sudden misalignment in structure with steady thermal conditions", "sudden belt strike against structure causing immediate friction spike and dynamic shock"] | how_happened | sudden belt strike against structure causing immediate friction spike and dynamic shock | [
"sudden belt strike against structure causing immediate friction spike and dynamic shock"
] | [
"MCQ_cause"
] | [
"foreign material collision that gets stuck and sustains persistent rubbing contact",
"abrupt wear-related breakdown in bearing or gear",
"sudden misalignment in structure with steady thermal conditions",
"sudden belt strike against structure causing immediate friction spike and dynamic shock"
] | 3 |
[
[
0.8726656017969571,
2.430252926877051,
2.781405567587972,
0.6744907594765951,
-0.5771409688223811,
-0.18774491466796803,
0.6466772736854961,
-0.208604769972755,
-9.415056240246356,
2.694486740740299,
1.922646190609489,
1.714041420636734,
2.951765887963087,
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 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: ["quickly check rollers for potential lock-up when loaded", "inspect the roller for strike damage and surface drag", "keep tracking gradual misalignment and organize a precision alignment evaluation", "monitor the steady wear of bearings and plan for their replacement"] | suggested_fix | quickly check rollers for potential lock-up when loaded | [
"quickly check rollers for potential lock-up when loaded"
] | [
"MCQ_fix"
] | [
"quickly check rollers for potential lock-up when loaded",
"inspect the roller for strike damage and surface drag",
"keep tracking gradual misalignment and organize a precision alignment evaluation",
"monitor the steady wear of bearings and plan for their replacement"
] | 0 |
[
[
-1.444535200144746,
-5.092407704845407,
-0.292279384943747,
0.5452136291370561,
-0.129277967897882,
0.415935661239174,
0.281037676855524,
0.17986397917820002,
-0.033724286706326004,
-0.966770563199514,
0.151760546515985,
-1.6974694443380551,
0.09555284363321101,... | [
"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: ["temperature increases slowly, while vibration continues to follow typical patterns", "vibration and temperature experience a parallel and sudden jump", "vibration shows a slow upward trajectory over several hours, while temperature remains stable around its baseline", "an isolated vibration spike occurs before a pronounced increase in temperature readings"] | what_happened | vibration and temperature experience a parallel and sudden jump | [
"vibration and temperature experience a parallel and sudden jump"
] | [
"MCQ_obs"
] | [
"temperature increases slowly, while vibration continues to follow typical patterns",
"vibration and temperature experience a parallel and sudden jump",
"vibration shows a slow upward trajectory over several hours, while temperature remains stable around its baseline",
"an isolated vibration spike occurs befo... | 1 |
[
[
-1.444535200144746,
-5.092407704845407,
-0.292279384943747,
0.5452136291370561,
-0.129277967897882,
0.415935661239174,
0.281037676855524,
0.17986397917820002,
-0.033724286706326004,
-0.966770563199514,
0.151760546515985,
-1.6974694443380551,
0.09555284363321101,... | [
"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 misalignment in structure with steady thermal conditions", "planned downtime followed by system relaunch with normal startup sequence", "slow alignment drift with increasing dynamics", "sudden product jam creating immediate shock impact and friction surge"] | how_happened | sudden product jam creating immediate shock impact and friction surge | [
"sudden product jam creating immediate shock impact and friction surge"
] | [
"MCQ_cause"
] | [
"sudden misalignment in structure with steady thermal conditions",
"planned downtime followed by system relaunch with normal startup sequence",
"slow alignment drift with increasing dynamics",
"sudden product jam creating immediate shock impact and friction surge"
] | 3 |
[
[
-1.444535200144746,
-5.092407704845407,
-0.292279384943747,
0.5452136291370561,
-0.129277967897882,
0.415935661239174,
0.281037676855524,
0.17986397917820002,
-0.033724286706326004,
-0.966770563199514,
0.151760546515985,
-1.6974694443380551,
0.09555284363321101,... | [
"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: ["re-evaluate the adjustment of the belt tension", "monitor scheduled shutdown and restart activities", "observe for a fleeting strike by a foreign object", "inspect belt tracking immediately and remove contact against structure"] | suggested_fix | inspect belt tracking immediately and remove contact against structure | [
"inspect belt tracking immediately and remove contact against structure"
] | [
"MCQ_fix"
] | [
"re-evaluate the adjustment of the belt tension",
"monitor scheduled shutdown and restart activities",
"observe for a fleeting strike by a foreign object",
"inspect belt tracking immediately and remove contact against structure"
] | 3 |
[
[
-2.97779600305563,
-0.870685668591983,
-0.881459304944983,
-0.969350127735711,
-0.9302244876832481,
-3.010684170186061,
-3.006714884598429,
-2.990837868990596,
-3.006147837764829,
-0.694904023010528,
-0.8485710955669861,
-0.88769673561945,
-1.040229714508708,
... | [
"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 and temperature both rise sharply", "a gentle increase is observed in both vibration and temperature simultaneously", "temperature trends upward at a gradual pace as vibration remains within acceptable levels", "both vibration and temperature show a sudden jump"] | what_happened | both vibration and temperature show a sudden jump | [
"both vibration and temperature show a sudden jump"
] | [
"MCQ_obs"
] | [
"vibration and temperature both rise sharply",
"a gentle increase is observed in both vibration and temperature simultaneously",
"temperature trends upward at a gradual pace as vibration remains within acceptable levels",
"both vibration and temperature show a sudden jump"
] | 3 |
[
[
-2.97779600305563,
-0.870685668591983,
-0.881459304944983,
-0.969350127735711,
-0.9302244876832481,
-3.010684170186061,
-3.006714884598429,
-2.990837868990596,
-3.006147837764829,
-0.694904023010528,
-0.8485710955669861,
-0.88769673561945,
-1.040229714508708,
... | [
"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: ["abrupt belt strike on structure causing simultaneous shock impact and friction surge", "initial contact shock followed by sustained belt rubbing against structure", "a sudden increase in friction along the rolling path with negligible dynamic variation", "continuous gear wear over time"] | how_happened | abrupt belt strike on structure causing simultaneous shock impact and friction surge | [
"abrupt belt strike on structure causing simultaneous shock impact and friction surge"
] | [
"MCQ_cause"
] | [
"abrupt belt strike on structure causing simultaneous shock impact and friction surge",
"initial contact shock followed by sustained belt rubbing against structure",
"a sudden increase in friction along the rolling path with negligible dynamic variation",
"continuous gear wear over time"
] | 0 |
[
[
-2.97779600305563,
-0.870685668591983,
-0.881459304944983,
-0.969350127735711,
-0.9302244876832481,
-3.010684170186061,
-3.006714884598429,
-2.990837868990596,
-3.006147837764829,
-0.694904023010528,
-0.8485710955669861,
-0.88769673561945,
-1.040229714508708,
... | [
"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: ["track slow wearing-related deterioration and schedule inspection", "quickly address product obstruction and verify the conveyor route", "log restart events with instant load engagement", "check that the belt replacement or resetting was executed correctly"] | suggested_fix | quickly address product obstruction and verify the conveyor route | [
"quickly address product obstruction and verify the conveyor route"
] | [
"MCQ_fix"
] | [
"track slow wearing-related deterioration and schedule inspection",
"quickly address product obstruction and verify the conveyor route",
"log restart events with instant load engagement",
"check that the belt replacement or resetting was executed correctly"
] | 1 |
[
[
-0.409060699556192,
1.182119695571249,
-18.41192298014166,
0.217554299118061,
0.37104008379331405,
-18.64707959687117,
0.347103042699335,
-0.162638429595653,
0.266840096001675,
-18.43022853226596,
1.132835577302018,
0.565361520550841,
0.469608320331776,
-18.... | [
"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 146 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 fast climb in vibration is observed without a corresponding temperature change", "a parallel jump is detected in both vibration and temperature readings", "temperature trends upward at a gradual pace as vibration remains within acceptable levels", "a singular spike in vibration is followed by a notable rise in temperature"] | what_happened | a parallel jump is detected in both vibration and temperature readings | [
"a parallel jump is detected in both vibration and temperature readings"
] | [
"MCQ_obs"
] | [
"a fast climb in vibration is observed without a corresponding temperature change",
"a parallel jump is detected in both vibration and temperature readings",
"temperature trends upward at a gradual pace as vibration remains within acceptable levels",
"a singular spike in vibration is followed by a notable ris... | 1 |
[
[
-0.409060699556192,
1.182119695571249,
-18.41192298014166,
0.217554299118061,
0.37104008379331405,
-18.64707959687117,
0.347103042699335,
-0.162638429595653,
0.266840096001675,
-18.43022853226596,
1.132835577302018,
0.565361520550841,
0.469608320331776,
-18.... | [
"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 146 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", "accelerated wear affecting gears significantly", "progressive deterioration of the gear system", "steady loss of lubrication with limited change in dynamics"] | how_happened | abrupt belt strike on structure causing simultaneous shock impact and friction surge | [
"abrupt belt strike on structure causing simultaneous shock impact and friction surge"
] | [
"MCQ_cause"
] | [
"abrupt belt strike on structure causing simultaneous shock impact and friction surge",
"accelerated wear affecting gears significantly",
"progressive deterioration of the gear system",
"steady loss of lubrication with limited change in dynamics"
] | 0 |
[
[
-0.409060699556192,
1.182119695571249,
-18.41192298014166,
0.217554299118061,
0.37104008379331405,
-18.64707959687117,
0.347103042699335,
-0.162638429595653,
0.266840096001675,
-18.43022853226596,
1.132835577302018,
0.565361520550841,
0.469608320331776,
-18.... | [
"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 146 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: ["clear product jam immediately and inspect conveyor path", "keep an eye on the progressive wear of gears and organize a gear check", "monitor restart with immediate load application", "keep tracking gradual misalignment and organize a precision alignment evaluation"] | suggested_fix | clear product jam immediately and inspect conveyor path | [
"clear product jam immediately and inspect conveyor path"
] | [
"MCQ_fix"
] | [
"clear product jam immediately and inspect conveyor path",
"keep an eye on the progressive wear of gears and organize a gear check",
"monitor restart with immediate load application",
"keep tracking gradual misalignment and organize a precision alignment evaluation"
] | 0 |
[
[
-0.145094119107382,
1.447018496537041,
0.38822463145562,
0.81174182688239,
-0.7568416336572711,
-0.84311403368874,
0.7725277370604461,
1.948965040293694,
-0.9372289010788011,
0.098036393240854,
0.011764577552381,
-2.011708869563398,
0.7097839077907421,
-0.54... | [
"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 sudden increase in temperature is observed while vibration remains within its normal limits", "vibration experiences an isolated spike before temperature significantly rises", "both vibration and temperature readings indicate a parallel jump"] | what_happened | both vibration and temperature readings indicate a parallel jump | [
"both vibration and temperature readings indicate a parallel jump"
] | [
"MCQ_obs"
] | [
"temperature ascends gradually, with vibration staying within its usual range",
"a sudden increase in temperature is observed while vibration remains within its normal limits",
"vibration experiences an isolated spike before temperature significantly rises",
"both vibration and temperature readings indicate a... | 3 |
[
[
-0.145094119107382,
1.447018496537041,
0.38822463145562,
0.81174182688239,
-0.7568416336572711,
-0.84311403368874,
0.7725277370604461,
1.948965040293694,
-0.9372289010788011,
0.098036393240854,
0.011764577552381,
-2.011708869563398,
0.7097839077907421,
-0.54... | [
"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: ["accelerated wear affecting gears significantly", "adjustment of belt tension affecting operational conditions", "short-lived object contact that moves through", "immediate belt-to-structure collision triggering sharp friction and dynamic jump"] | how_happened | immediate belt-to-structure collision triggering sharp friction and dynamic jump | [
"immediate belt-to-structure collision triggering sharp friction and dynamic jump"
] | [
"MCQ_cause"
] | [
"accelerated wear affecting gears significantly",
"adjustment of belt tension affecting operational conditions",
"short-lived object contact that moves through",
"immediate belt-to-structure collision triggering sharp friction and dynamic jump"
] | 3 |
[
[
-0.145094119107382,
1.447018496537041,
0.38822463145562,
0.81174182688239,
-0.7568416336572711,
-0.84311403368874,
0.7725277370604461,
1.948965040293694,
-0.9372289010788011,
0.098036393240854,
0.011764577552381,
-2.011708869563398,
0.7097839077907421,
-0.54... | [
"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: ["verify belt alignment for impact evidence and new rubbing marks, then eliminate contact points", "quickly check rollers for potential lock-up when loaded", "inspect immediately for sudden imbalance and perform corrective balancing", "maintain surveillance of early heat rise and arrange for inspection"] | suggested_fix | quickly check rollers for potential lock-up when loaded | [
"quickly check rollers for potential lock-up when loaded"
] | [
"MCQ_fix"
] | [
"verify belt alignment for impact evidence and new rubbing marks, then eliminate contact points",
"quickly check rollers for potential lock-up when loaded",
"inspect immediately for sudden imbalance and perform corrective balancing",
"maintain surveillance of early heat rise and arrange for inspection"
] | 1 |
[
[
-5.132993294948384,
-4.984376614745532,
-5.132993294948384,
-4.984376614745532,
-4.790031364891823,
0.8459719374435001,
-0.205777072858486,
0.5144418303917171,
-0.45728228949058003,
-2.206386557033216,
-0.365826001943364,
-1.7948332630707422,
0.45728228949058003... | [
"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: ["vibration reaches a new steady band", "vibration rises abruptly while temperature stays near baseline", "both vibration and temperature readings indicate a parallel jump", "a rapid temperature rise is noted while vibration remains stable at its baseline"] | what_happened | both vibration and temperature readings indicate a parallel jump | [
"both vibration and temperature readings indicate a parallel jump"
] | [
"MCQ_obs"
] | [
"vibration reaches a new steady band",
"vibration rises abruptly while temperature stays near baseline",
"both vibration and temperature readings indicate a parallel jump",
"a rapid temperature rise is noted while vibration remains stable at its baseline"
] | 2 |
[
[
-5.132993294948384,
-4.984376614745532,
-5.132993294948384,
-4.984376614745532,
-4.790031364891823,
0.8459719374435001,
-0.205777072858486,
0.5144418303917171,
-0.45728228949058003,
-2.206386557033216,
-0.365826001943364,
-1.7948332630707422,
0.45728228949058003... | [
"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: ["controlled stop event with subsequent restart under working load conditions", "brief foreign object strike that passes through", "immediate belt-to-structure collision triggering sharp friction and dynamic jump", "sudden misalignment in structure with steady thermal conditions"] | how_happened | immediate belt-to-structure collision triggering sharp friction and dynamic jump | [
"immediate belt-to-structure collision triggering sharp friction and dynamic jump"
] | [
"MCQ_cause"
] | [
"controlled stop event with subsequent restart under working load conditions",
"brief foreign object strike that passes through",
"immediate belt-to-structure collision triggering sharp friction and dynamic jump",
"sudden misalignment in structure with steady thermal conditions"
] | 2 |
[
[
-5.132993294948384,
-4.984376614745532,
-5.132993294948384,
-4.984376614745532,
-4.790031364891823,
0.8459719374435001,
-0.205777072858486,
0.5144418303917171,
-0.45728228949058003,
-2.206386557033216,
-0.365826001943364,
-1.7948332630707422,
0.45728228949058003... | [
"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: ["continue tracking slow lubrication depletion and respond when dynamic shifts occur", "immediately check for roller lock-up when under load", "check conveyor for transient debris contact", "monitor restart with immediate load application"] | suggested_fix | immediately check for roller lock-up when under load | [
"immediately check for roller lock-up when under load"
] | [
"MCQ_fix"
] | [
"continue tracking slow lubrication depletion and respond when dynamic shifts occur",
"immediately check for roller lock-up when under load",
"check conveyor for transient debris contact",
"monitor restart with immediate load application"
] | 1 |
[
[
-0.035499235244026005,
-0.42599434948837905,
-1.360814891247871,
0.9229871694648111,
-0.508826192271112,
-0.10649858737209401,
-0.47332695702708605,
-0.331328252770949,
0.331329134410965,
0.15383119491080102,
-1.064984992080932,
0.603492288988542,
2.520465980046... | [
"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 165 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", "temperature elevates slowly, whereas vibration continues to operate within normal bounds", "vibration and temperature experience a parallel and sudden jump", "vibration and temperature increase sharply in parallel"] | what_happened | vibration and temperature experience a parallel and sudden jump | [
"vibration and temperature experience a parallel and sudden jump"
] | [
"MCQ_obs"
] | [
"a rapid temperature rise is noted while vibration remains stable at its baseline",
"temperature elevates slowly, whereas vibration continues to operate within normal bounds",
"vibration and temperature experience a parallel and sudden jump",
"vibration and temperature increase sharply in parallel"
] | 2 |
[
[
-0.035499235244026005,
-0.42599434948837905,
-1.360814891247871,
0.9229871694648111,
-0.508826192271112,
-0.10649858737209401,
-0.47332695702708605,
-0.331328252770949,
0.331329134410965,
0.15383119491080102,
-1.064984992080932,
0.603492288988542,
2.520465980046... | [
"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 165 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 product jam creating immediate shock impact and friction surge", "abrupt wear-related breakdown in bearing or gear", "belt tension readjustment altering running condition", "abrupt structural looseness without thermal effect"] | how_happened | sudden product jam creating immediate shock impact and friction surge | [
"sudden product jam creating immediate shock impact and friction surge"
] | [
"MCQ_cause"
] | [
"sudden product jam creating immediate shock impact and friction surge",
"abrupt wear-related breakdown in bearing or gear",
"belt tension readjustment altering running condition",
"abrupt structural looseness without thermal effect"
] | 0 |
[
[
-0.035499235244026005,
-0.42599434948837905,
-1.360814891247871,
0.9229871694648111,
-0.508826192271112,
-0.10649858737209401,
-0.47332695702708605,
-0.331328252770949,
0.331329134410965,
0.15383119491080102,
-1.064984992080932,
0.603492288988542,
2.520465980046... | [
"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 165 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 that the belt replacement or resetting was executed correctly", "track the slow progression of wear-related issues and set up an inspection", "immediately check for roller lock-up when under load", "monitor slow alignment drift and plan a precision alignment check"] | suggested_fix | immediately check for roller lock-up when under load | [
"immediately check for roller lock-up when under load"
] | [
"MCQ_fix"
] | [
"check that the belt replacement or resetting was executed correctly",
"track the slow progression of wear-related issues and set up an inspection",
"immediately check for roller lock-up when under load",
"monitor slow alignment drift and plan a precision alignment check"
] | 2 |
[
[
-0.6696160478028581,
-0.388442445963523,
-28.710571519950186,
-0.004876649158504,
-0.9264102788192051,
-1.392865548925427,
-1.2417146123137681,
-0.33155789320480905,
-1.599275488576299,
-1.6805394121580002,
-0.9816692818584171,
-1.482255283619868,
-1.79430851767... | [
"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 short-lived vibration spike appears, returning to its baseline while the temperature remains unchanged.", "there is a concurrent jump in vibration and temperature", "a coordinated sharp rise occurs in both vibration and temperature", "temperature experiences a sharp increase while vibration persists at baseline values"] | what_happened | there is a concurrent jump in vibration and temperature | [
"there is a concurrent jump in vibration and temperature"
] | [
"MCQ_obs"
] | [
"a short-lived vibration spike appears, returning to its baseline while the temperature remains unchanged.",
"there is a concurrent jump in vibration and temperature",
"a coordinated sharp rise occurs in both vibration and temperature",
"temperature experiences a sharp increase while vibration persists at bas... | 1 |
[
[
-0.6696160478028581,
-0.388442445963523,
-28.710571519950186,
-0.004876649158504,
-0.9264102788192051,
-1.392865548925427,
-1.2417146123137681,
-0.33155789320480905,
-1.599275488576299,
-1.6805394121580002,
-0.9816692818584171,
-1.482255283619868,
-1.79430851767... | [
"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", "alterations in running condition due to belt splice rework", "an abrupt increase in friction on the rolling track with little dynamic alteration", "sudden belt strike against structure causing immediate friction spike and dynamic shock"] | how_happened | sudden belt strike against structure causing immediate friction spike and dynamic shock | [
"sudden belt strike against structure causing immediate friction spike and dynamic shock"
] | [
"MCQ_cause"
] | [
"temporary debris impact with no sticking",
"alterations in running condition due to belt splice rework",
"an abrupt increase in friction on the rolling track with little dynamic alteration",
"sudden belt strike against structure causing immediate friction spike and dynamic shock"
] | 3 |
[
[
-0.6696160478028581,
-0.388442445963523,
-28.710571519950186,
-0.004876649158504,
-0.9264102788192051,
-1.392865548925427,
-1.2417146123137681,
-0.33155789320480905,
-1.599275488576299,
-1.6805394121580002,
-0.9816692818584171,
-1.482255283619868,
-1.79430851767... | [
"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 to observe the gradual decrease in lubrication and take action if the dynamics show changes", "assess the quality of splice rework and confirm that the belt joint is balanced", "quickly address product obstruction and verify the conveyor route"] | suggested_fix | quickly address product obstruction and verify the conveyor route | [
"quickly address product obstruction and verify the conveyor route"
] | [
"MCQ_fix"
] | [
"keep tracking gradual misalignment and organize a precision alignment evaluation",
"continue to observe the gradual decrease in lubrication and take action if the dynamics show changes",
"assess the quality of splice rework and confirm that the belt joint is balanced",
"quickly address product obstruction an... | 3 |
[
[
0.6005032971740001,
-0.459411046455211,
-0.46973454449432706,
-0.430159426042766,
-0.9910886303461751,
-0.655563662684235,
-0.511029562231762,
-0.26497832951206,
-0.8964531463843791,
-0.8603198776665031,
-1.097767511632961,
-0.7966559134030241,
0.149695849472031... | [
"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 165 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 experiences a sudden but brief spike, reverting to normal as the temperature stays constant.", "vibration halts, followed by a concurrent rise in both vibration and temperature", "vibration increases sharply while the temperature remains stable", "a sudden parallel jump is observed in vibration and temperature"] | what_happened | a sudden parallel jump is observed in vibration and temperature | [
"a sudden parallel jump is observed in vibration and temperature"
] | [
"MCQ_obs"
] | [
"vibration experiences a sudden but brief spike, reverting to normal as the temperature stays constant.",
"vibration halts, followed by a concurrent rise in both vibration and temperature",
"vibration increases sharply while the temperature remains stable",
"a sudden parallel jump is observed in vibration and... | 3 |
[
[
0.6005032971740001,
-0.459411046455211,
-0.46973454449432706,
-0.430159426042766,
-0.9910886303461751,
-0.655563662684235,
-0.511029562231762,
-0.26497832951206,
-0.8964531463843791,
-0.8603198776665031,
-1.097767511632961,
-0.7966559134030241,
0.149695849472031... | [
"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 165 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 deterioration of gear or bearing due to wear", "foreign body collision that remains trapped and creates ongoing contact friction", "incremental imbalance formation in mechanical systems", "abrupt roller lock under load with immediate friction surge and dynamic impact"] | how_happened | abrupt roller lock under load with immediate friction surge and dynamic impact | [
"abrupt roller lock under load with immediate friction surge and dynamic impact"
] | [
"MCQ_cause"
] | [
"rapid deterioration of gear or bearing due to wear",
"foreign body collision that remains trapped and creates ongoing contact friction",
"incremental imbalance formation in mechanical systems",
"abrupt roller lock under load with immediate friction surge and dynamic impact"
] | 3 |
[
[
0.6005032971740001,
-0.459411046455211,
-0.46973454449432706,
-0.430159426042766,
-0.9910886303461751,
-0.655563662684235,
-0.511029562231762,
-0.26497832951206,
-0.8964531463843791,
-0.8603198776665031,
-1.097767511632961,
-0.7966559134030241,
0.149695849472031... | [
"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 165 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 check rollers for potential lock-up when loaded", "keep tracking the progressive deterioration due to wear and schedule an evaluation", "detect short-lived contact with external objects", "verify belt replacement or reset was performed correctly"] | suggested_fix | quickly check rollers for potential lock-up when loaded | [
"quickly check rollers for potential lock-up when loaded"
] | [
"MCQ_fix"
] | [
"quickly check rollers for potential lock-up when loaded",
"keep tracking the progressive deterioration due to wear and schedule an evaluation",
"detect short-lived contact with external objects",
"verify belt replacement or reset was performed correctly"
] | 0 |
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