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 |
|---|---|---|---|---|---|---|---|---|
[
[
0.8956357569737601,
-0.729776185023242,
-21.318333766330554,
0.5418050791025261,
1.304755155702218,
6.534821659564462,
1.127836521456024,
0.34277491088613504,
0.39806033643278205,
1.304755155702218,
-0.27643042304381205,
-0.729776185023242,
1.813386343228295,
... | [
"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 experiences an isolated spike before temperature significantly rises", "a fast climb in vibration is observed without a corresponding temperature change", "vibration and temperature exhibit a parallel jump", "vibration stabilizes within a different consistent range"] | what_happened | vibration experiences an isolated spike before temperature significantly rises | [
"vibration experiences an isolated spike before temperature significantly rises"
] | [
"MCQ_obs"
] | [
"vibration experiences an isolated spike before temperature significantly rises",
"a fast climb in vibration is observed without a corresponding temperature change",
"vibration and temperature exhibit a parallel jump",
"vibration stabilizes within a different consistent range"
] | 0 |
[
[
0.8956357569737601,
-0.729776185023242,
-21.318333766330554,
0.5418050791025261,
1.304755155702218,
6.534821659564462,
1.127836521456024,
0.34277491088613504,
0.39806033643278205,
1.304755155702218,
-0.27643042304381205,
-0.729776185023242,
1.813386343228295,
... | [
"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: ["progressive frictional losses without dynamic excitation", "initial contact shock followed by sustained belt rubbing against structure", "short-lived object contact that moves through", "abrupt wear-related breakdown in bearing or gear"] | how_happened | initial contact shock followed by sustained belt rubbing against structure | [
"initial contact shock followed by sustained belt rubbing against structure"
] | [
"MCQ_cause"
] | [
"progressive frictional losses without dynamic excitation",
"initial contact shock followed by sustained belt rubbing against structure",
"short-lived object contact that moves through",
"abrupt wear-related breakdown in bearing or gear"
] | 1 |
[
[
0.8956357569737601,
-0.729776185023242,
-21.318333766330554,
0.5418050791025261,
1.304755155702218,
6.534821659564462,
1.127836521456024,
0.34277491088613504,
0.39806033643278205,
1.304755155702218,
-0.27643042304381205,
-0.729776185023242,
1.813386343228295,
... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["monitor for early signs of heat increase and schedule an inspection", "immediately stop the machine and replace the bearing showing sudden wear transition", "check the roller for damage from strikes and assess surface drag", "continue observing gradual gear wear and arrange for a gear examination"] | suggested_fix | check the roller for damage from strikes and assess surface drag | [
"check the roller for damage from strikes and assess surface drag"
] | [
"MCQ_fix"
] | [
"monitor for early signs of heat increase and schedule an inspection",
"immediately stop the machine and replace the bearing showing sudden wear transition",
"check the roller for damage from strikes and assess surface drag",
"continue observing gradual gear wear and arrange for a gear examination"
] | 2 |
[
[
1.410432953640819,
-1.537544509220168,
-1.436528702215675,
0.32493410707110004,
2.87894984108005,
0.262220267222587,
-2.131854085956869,
-2.124698805115284,
-0.039985529444016,
0.224339331756045,
0.544643532777044,
0.258432048238218,
0.896094169237008,
0.465... | [
"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", "temperature and vibration experience a sharp concurrent rise", "a single vibration spike precedes a sharp temperature rise", "vibration climbs slowly over time while temperature shows no clear trend"] | what_happened | a single vibration spike precedes a sharp temperature rise | [
"a single vibration spike precedes a sharp temperature rise"
] | [
"MCQ_obs"
] | [
"vibration increases sharply while the temperature remains stable",
"temperature and vibration experience a sharp concurrent rise",
"a single vibration spike precedes a sharp temperature rise",
"vibration climbs slowly over time while temperature shows no clear trend"
] | 2 |
[
[
1.410432953640819,
-1.537544509220168,
-1.436528702215675,
0.32493410707110004,
2.87894984108005,
0.262220267222587,
-2.131854085956869,
-2.124698805115284,
-0.039985529444016,
0.224339331756045,
0.544643532777044,
0.258432048238218,
0.896094169237008,
0.465... | [
"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 object strike that becomes wedged and generates sustained rubbing losses", "progressive frictional losses without dynamic excitation", "an abrupt increase in friction on the rolling track with little dynamic alteration", "steady wearing down of gear teeth"] | how_happened | sudden object strike that becomes wedged and generates sustained rubbing losses | [
"sudden object strike that becomes wedged and generates sustained rubbing losses"
] | [
"MCQ_cause"
] | [
"sudden object strike that becomes wedged and generates sustained rubbing losses",
"progressive frictional losses without dynamic excitation",
"an abrupt increase in friction on the rolling track with little dynamic alteration",
"steady wearing down of gear teeth"
] | 0 |
[
[
1.410432953640819,
-1.537544509220168,
-1.436528702215675,
0.32493410707110004,
2.87894984108005,
0.262220267222587,
-2.131854085956869,
-2.124698805115284,
-0.039985529444016,
0.224339331756045,
0.544643532777044,
0.258432048238218,
0.896094169237008,
0.465... | [
"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 the quality of splice rework and confirm that the belt joint is balanced", "immediately check for roller lock-up when under load", "inspect the roller for strike damage and surface drag", "track restart with immediate load pickup"] | suggested_fix | inspect the roller for strike damage and surface drag | [
"inspect the roller for strike damage and surface drag"
] | [
"MCQ_fix"
] | [
"assess the quality of splice rework and confirm that the belt joint is balanced",
"immediately check for roller lock-up when under load",
"inspect the roller for strike damage and surface drag",
"track restart with immediate load pickup"
] | 2 |
[
[
-0.061025436475337,
-0.7579991255468991,
0.26979659095339603,
-0.908956759006702,
-10.987776960437905,
0.07066070424198101,
-0.07387309830366001,
0.6841265058478371,
-0.31476245014333004,
-2.49561619294708,
0.9410749563683131,
-0.32118628105749203,
-0.1284742252... | [
"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 gentle increase is observed in both vibration and temperature simultaneously", "temperature experiences a slow upward trend, with vibration tracking normally", "vibration experiences an isolated spike before temperature significantly rises", "vibration and temperature experience a parallel and sudden jump"] | what_happened | vibration experiences an isolated spike before temperature significantly rises | [
"vibration experiences an isolated spike before temperature significantly rises"
] | [
"MCQ_obs"
] | [
"a gentle increase is observed in both vibration and temperature simultaneously",
"temperature experiences a slow upward trend, with vibration tracking normally",
"vibration experiences an isolated spike before temperature significantly rises",
"vibration and temperature experience a parallel and sudden jump"... | 2 |
[
[
-0.061025436475337,
-0.7579991255468991,
0.26979659095339603,
-0.908956759006702,
-10.987776960437905,
0.07066070424198101,
-0.07387309830366001,
0.6841265058478371,
-0.31476245014333004,
-2.49561619294708,
0.9410749563683131,
-0.32118628105749203,
-0.1284742252... | [
"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: ["belt replacement or resetting required after maintenance", "sudden imbalance event in mechanics with negligible thermal change", "external object strike that subsequently lodges and maintains continuous friction", "progressive structural looseness"] | how_happened | external object strike that subsequently lodges and maintains continuous friction | [
"external object strike that subsequently lodges and maintains continuous friction"
] | [
"MCQ_cause"
] | [
"belt replacement or resetting required after maintenance",
"sudden imbalance event in mechanics with negligible thermal change",
"external object strike that subsequently lodges and maintains continuous friction",
"progressive structural looseness"
] | 2 |
[
[
-0.061025436475337,
-0.7579991255468991,
0.26979659095339603,
-0.908956759006702,
-10.987776960437905,
0.07066070424198101,
-0.07387309830366001,
0.6841265058478371,
-0.31476245014333004,
-2.49561619294708,
0.9410749563683131,
-0.32118628105749203,
-0.1284742252... | [
"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: ["ensure continuous monitoring of slow imbalance changes and set up balancing maintenance", "inspect the roller for any signs of impact damage and surface resistance", "keep an eye on the progressive wear of gears and organize a gear check", "immediately check for roller lock-up when under load"] | suggested_fix | inspect the roller for any signs of impact damage and surface resistance | [
"inspect the roller for any signs of impact damage and surface resistance"
] | [
"MCQ_fix"
] | [
"ensure continuous monitoring of slow imbalance changes and set up balancing maintenance",
"inspect the roller for any signs of impact damage and surface resistance",
"keep an eye on the progressive wear of gears and organize a gear check",
"immediately check for roller lock-up when under load"
] | 1 |
[
[
-0.878320408867245,
-8.460778092348397,
0.5040144904371431,
-0.607782894302771,
-0.21494781099819202,
1.608399767438697,
1.167386536070484,
-0.333539325869117,
12.441012437032365,
0.329832719764223,
-0.711550193696974,
-0.011118713843254,
0.28906667943895104,
... | [
"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: ["an sudden rise in vibration happens with temperature staying unchanged", "both vibration and temperature show a sudden simultaneous increase", "vibration spikes once and returns, followed by a sharp rise in temperature", "temperature surges abruptly with vibration maintaining its standard range"] | what_happened | vibration spikes once and returns, followed by a sharp rise in temperature | [
"vibration spikes once and returns, followed by a sharp rise in temperature"
] | [
"MCQ_obs"
] | [
"an sudden rise in vibration happens with temperature staying unchanged",
"both vibration and temperature show a sudden simultaneous increase",
"vibration spikes once and returns, followed by a sharp rise in temperature",
"temperature surges abruptly with vibration maintaining its standard range"
] | 2 |
[
[
-0.878320408867245,
-8.460778092348397,
0.5040144904371431,
-0.607782894302771,
-0.21494781099819202,
1.608399767438697,
1.167386536070484,
-0.333539325869117,
12.441012437032365,
0.329832719764223,
-0.711550193696974,
-0.011118713843254,
0.28906667943895104,
... | [
"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: ["slow lubrication depletion with negligible dynamic impact", "sudden misalignment in structure with steady thermal conditions", "adjustment of belt tension affecting operational conditions", "foreign object impact that becomes trapped and continuously rubs against the structure"] | how_happened | foreign object impact that becomes trapped and continuously rubs against the structure | [
"foreign object impact that becomes trapped and continuously rubs against the structure"
] | [
"MCQ_cause"
] | [
"slow lubrication depletion with negligible dynamic impact",
"sudden misalignment in structure with steady thermal conditions",
"adjustment of belt tension affecting operational conditions",
"foreign object impact that becomes trapped and continuously rubs against the structure"
] | 3 |
[
[
-0.878320408867245,
-8.460778092348397,
0.5040144904371431,
-0.607782894302771,
-0.21494781099819202,
1.608399767438697,
1.167386536070484,
-0.333539325869117,
12.441012437032365,
0.329832719764223,
-0.711550193696974,
-0.011118713843254,
0.28906667943895104,
... | [
"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: ["observe for a fleeting strike by a foreign object", "urgently examine the gears for any signs of rapid wear advancement and carry out necessary repairs", "inspect the roller for strike damage and surface drag", "track slow wearing-related deterioration and schedule inspection"] | suggested_fix | inspect the roller for strike damage and surface drag | [
"inspect the roller for strike damage and surface drag"
] | [
"MCQ_fix"
] | [
"observe for a fleeting strike by a foreign object",
"urgently examine the gears for any signs of rapid wear advancement and carry out necessary repairs",
"inspect the roller for strike damage and surface drag",
"track slow wearing-related deterioration and schedule inspection"
] | 2 |
[
[
-0.045057274282964,
0.029036956069563004,
-0.10019410951569901,
-0.082705173275085,
-0.14198049389789602,
-0.143649320147717,
-0.136239865282858,
-0.11714894496531401,
-0.15593156941625902,
-1.69168383350838,
-0.14591877106536402,
-1.698826247924492,
-1.69969401... | [
"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 144 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 steadily ascends over time, and temperature maintains a baseline pattern", "vibration stabilizes within a different consistent range", "temperature and vibration readings show a simultaneous jump", "vibration pauses, after which both vibration and temperature increase simultaneously"] | what_happened | vibration stabilizes within a different consistent range | [
"vibration stabilizes within a different consistent range"
] | [
"MCQ_obs"
] | [
"vibration steadily ascends over time, and temperature maintains a baseline pattern",
"vibration stabilizes within a different consistent range",
"temperature and vibration readings show a simultaneous jump",
"vibration pauses, after which both vibration and temperature increase simultaneously"
] | 1 |
[
[
-0.045057274282964,
0.029036956069563004,
-0.10019410951569901,
-0.082705173275085,
-0.14198049389789602,
-0.143649320147717,
-0.136239865282858,
-0.11714894496531401,
-0.15593156941625902,
-1.69168383350838,
-0.14591877106536402,
-1.698826247924492,
-1.69969401... | [
"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 144 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", "operational break followed by equipment restart with load stabilization", "sudden product jam creating immediate shock impact and friction surge", "initial impact event followed by trapped debris causing continuous frictional heating"] | how_happened | alterations in running condition due to belt splice rework | [
"alterations in running condition due to belt splice rework"
] | [
"MCQ_cause"
] | [
"alterations in running condition due to belt splice rework",
"operational break followed by equipment restart with load stabilization",
"sudden product jam creating immediate shock impact and friction surge",
"initial impact event followed by trapped debris causing continuous frictional heating"
] | 0 |
[
[
-0.045057274282964,
0.029036956069563004,
-0.10019410951569901,
-0.082705173275085,
-0.14198049389789602,
-0.143649320147717,
-0.136239865282858,
-0.11714894496531401,
-0.15593156941625902,
-1.69168383350838,
-0.14591877106536402,
-1.698826247924492,
-1.69969401... | [
"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 144 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 gradual lubrication loss closely and intervene if dynamics begin to change", "inspect the roller for any signs of impact damage and surface resistance", "re-evaluate the adjustment of the belt tension", "inspect gears urgently for severe wear progression and repair"] | suggested_fix | re-evaluate the adjustment of the belt tension | [
"re-evaluate the adjustment of the belt tension"
] | [
"MCQ_fix"
] | [
"monitor gradual lubrication loss closely and intervene if dynamics begin to change",
"inspect the roller for any signs of impact damage and surface resistance",
"re-evaluate the adjustment of the belt tension",
"inspect gears urgently for severe wear progression and repair"
] | 2 |
[
[
0.26842234225578804,
-0.5312475352479761,
-8.680856438219303,
-0.447540217774031,
0.48748519219780106,
0.049104717989432,
-8.676785584305314,
0,
-8.680856438219303,
0.207867944809276,
0.232547690966164,
0.027223849767112004,
-0.35543747970745204,
-8.67958430... | [
"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 adjusts to a new steady band", "an isolated vibration spike occurs before a pronounced increase in temperature readings", "temperature and vibration readings show a simultaneous jump", "vibration pauses, after which both vibration and temperature increase simultaneously"] | what_happened | vibration adjusts to a new steady band | [
"vibration adjusts to a new steady band"
] | [
"MCQ_obs"
] | [
"vibration adjusts to a new steady band",
"an isolated vibration spike occurs before a pronounced increase in temperature readings",
"temperature and vibration readings show a simultaneous jump",
"vibration pauses, after which both vibration and temperature increase simultaneously"
] | 0 |
[
[
0.26842234225578804,
-0.5312475352479761,
-8.680856438219303,
-0.447540217774031,
0.48748519219780106,
0.049104717989432,
-8.676785584305314,
0,
-8.680856438219303,
0.207867944809276,
0.232547690966164,
0.027223849767112004,
-0.35543747970745204,
-8.67958430... | [
"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: ["modifications in operational conditions from belt tension adjustment", "initial impact event followed by trapped debris causing continuous frictional heating", "sudden mechanical imbalance occurrence without corresponding heat buildup", "progressive frictional losses without dynamic excitation"] | how_happened | modifications in operational conditions from belt tension adjustment | [
"modifications in operational conditions from belt tension adjustment"
] | [
"MCQ_cause"
] | [
"modifications in operational conditions from belt tension adjustment",
"initial impact event followed by trapped debris causing continuous frictional heating",
"sudden mechanical imbalance occurrence without corresponding heat buildup",
"progressive frictional losses without dynamic excitation"
] | 0 |
[
[
0.26842234225578804,
-0.5312475352479761,
-8.680856438219303,
-0.447540217774031,
0.48748519219780106,
0.049104717989432,
-8.676785584305314,
0,
-8.680856438219303,
0.207867944809276,
0.232547690966164,
0.027223849767112004,
-0.35543747970745204,
-8.67958430... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["check that the belt replacement or resetting was executed correctly", "immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty", "inspect the roller for any signs of impact damage and surface resistance", "immediately resolve product blockage and assess conveyor pathway"] | suggested_fix | check that the belt replacement or resetting was executed correctly | [
"check that the belt replacement or resetting was executed correctly"
] | [
"MCQ_fix"
] | [
"check that the belt replacement or resetting was executed correctly",
"immediately evaluate for sudden lubrication breakdown and change the bearing if found faulty",
"inspect the roller for any signs of impact damage and surface resistance",
"immediately resolve product blockage and assess conveyor pathway"
... | 0 |
[
[
0.174011988383574,
0.0060219709016310005,
0.23231181894382003,
-0.050635978558863,
-0.16155692372942002,
0.12084270997207401,
-0.030450499156038,
0.190023591985918,
0.023128596954445003,
-11.133640805940148,
0.042494440959301,
-0.20740299478741903,
-11.155400765... | [
"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 sharp temperature increase appears while vibration stays within its normal range", "vibration subsides, and then both vibration and temperature start to increase concurrently", "a rapid transition yields a different sustained vibration level", "a short-lived vibration spike appears, returning to its baseline while the temperature remains unchanged."] | what_happened | a rapid transition yields a different sustained vibration level | [
"a rapid transition yields a different sustained vibration level"
] | [
"MCQ_obs"
] | [
"a sharp temperature increase appears while vibration stays within its normal range",
"vibration subsides, and then both vibration and temperature start to increase concurrently",
"a rapid transition yields a different sustained vibration level",
"a short-lived vibration spike appears, returning to its baseli... | 2 |
[
[
0.174011988383574,
0.0060219709016310005,
0.23231181894382003,
-0.050635978558863,
-0.16155692372942002,
0.12084270997207401,
-0.030450499156038,
0.190023591985918,
0.023128596954445003,
-11.133640805940148,
0.042494440959301,
-0.20740299478741903,
-11.155400765... | [
"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: ["sudden misalignment in structure with steady thermal conditions", "adjustment of belt tension affecting operational conditions", "incremental degradation of gear", "temporary suspension of operation followed by restart and load ramp-up"] | how_happened | adjustment of belt tension affecting operational conditions | [
"adjustment of belt tension affecting operational conditions"
] | [
"MCQ_cause"
] | [
"sudden misalignment in structure with steady thermal conditions",
"adjustment of belt tension affecting operational conditions",
"incremental degradation of gear",
"temporary suspension of operation followed by restart and load ramp-up"
] | 1 |
[
[
0.174011988383574,
0.0060219709016310005,
0.23231181894382003,
-0.050635978558863,
-0.16155692372942002,
0.12084270997207401,
-0.030450499156038,
0.190023591985918,
0.023128596954445003,
-11.133640805940148,
0.042494440959301,
-0.20740299478741903,
-11.155400765... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["monitor gradual lubrication loss closely and intervene if dynamics begin to change", "review and verify that the splice rework is of high quality and the belt joint is balanced", "verify belt alignment for impact evidence and new rubbing marks, then eliminate contact points", "quickly address product obstruction and verify the conveyor route"] | suggested_fix | review and verify that the splice rework is of high quality and the belt joint is balanced | [
"review and verify that the splice rework is of high quality and the belt joint is balanced"
] | [
"MCQ_fix"
] | [
"monitor gradual lubrication loss closely and intervene if dynamics begin to change",
"review and verify that the splice rework is of high quality and the belt joint is balanced",
"verify belt alignment for impact evidence and new rubbing marks, then eliminate contact points",
"quickly address product obstruc... | 1 |
[
[
-0.109043925071579,
0.27268180742304504,
-0.16464443744034601,
-0.034079112088501,
-2.08554328985481,
-0.11680884391573002,
-2.176708823691892,
-0.17365543674421002,
-0.21180876568429802,
-2.16530115292606,
-0.114508211871071,
-0.177298142240709,
0.1324344460414... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["a parallel jump is detected in both vibration and temperature readings", "vibration adjusts to a new steady band", "temperature and vibration show a coordinated, slow increase", "vibration and temperature increase sharply in parallel"] | what_happened | vibration adjusts to a new steady band | [
"vibration adjusts to a new steady band"
] | [
"MCQ_obs"
] | [
"a parallel jump is detected in both vibration and temperature readings",
"vibration adjusts to a new steady band",
"temperature and vibration show a coordinated, slow increase",
"vibration and temperature increase sharply in parallel"
] | 1 |
[
[
-0.109043925071579,
0.27268180742304504,
-0.16464443744034601,
-0.034079112088501,
-2.08554328985481,
-0.11680884391573002,
-2.176708823691892,
-0.17365543674421002,
-0.21180876568429802,
-2.16530115292606,
-0.114508211871071,
-0.177298142240709,
0.1324344460414... | [
"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: ["modifications in operational conditions from belt tension adjustment", "severe roller heating event with minimal change in dynamics", "sudden mechanical imbalance occurrence without corresponding heat buildup", "abrupt belt strike on structure causing simultaneous shock impact and friction surge"] | how_happened | modifications in operational conditions from belt tension adjustment | [
"modifications in operational conditions from belt tension adjustment"
] | [
"MCQ_cause"
] | [
"modifications in operational conditions from belt tension adjustment",
"severe roller heating event with minimal change in dynamics",
"sudden mechanical imbalance occurrence without corresponding heat buildup",
"abrupt belt strike on structure causing simultaneous shock impact and friction surge"
] | 0 |
[
[
-0.109043925071579,
0.27268180742304504,
-0.16464443744034601,
-0.034079112088501,
-2.08554328985481,
-0.11680884391573002,
-2.176708823691892,
-0.17365543674421002,
-0.21180876568429802,
-2.16530115292606,
-0.114508211871071,
-0.177298142240709,
0.1324344460414... | [
"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: ["keep tracking the progressive deterioration due to wear and schedule an evaluation", "verify belt replacement or reset was performed correctly", "immediately inspect for unexpected imbalance and carry out necessary balancing corrections", "log restart events with instant load engagement"] | suggested_fix | verify belt replacement or reset was performed correctly | [
"verify belt replacement or reset was performed correctly"
] | [
"MCQ_fix"
] | [
"keep tracking the progressive deterioration due to wear and schedule an evaluation",
"verify belt replacement or reset was performed correctly",
"immediately inspect for unexpected imbalance and carry out necessary balancing corrections",
"log restart events with instant load engagement"
] | 1 |
[
[
0.595997174816922,
0.42880652234162103,
0.596892134837754,
0.69982000590308,
-2.12487860142858,
0.72935582049615,
0.6863945386377931,
0.613539586212372,
0.42630025018028006,
-2.12487860142858,
0.6774442982577891,
0.716109387913141,
0.09872119620346101,
0.526... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the key anomalous pattern observed in these time series?
Choose from: ["temperature and vibration show a coordinated, slow increase", "vibration adjusts to a new steady band", "a fast climb in vibration is observed without a corresponding temperature change", "vibration shows a slow upward trajectory over several hours, while temperature remains stable around its baseline"] | what_happened | vibration adjusts to a new steady band | [
"vibration adjusts to a new steady band"
] | [
"MCQ_obs"
] | [
"temperature and vibration show a coordinated, slow increase",
"vibration adjusts to a new steady band",
"a fast climb in vibration is observed without a corresponding temperature change",
"vibration shows a slow upward trajectory over several hours, while temperature remains stable around its baseline"
] | 1 |
[
[
0.595997174816922,
0.42880652234162103,
0.596892134837754,
0.69982000590308,
-2.12487860142858,
0.72935582049615,
0.6863945386377931,
0.613539586212372,
0.42630025018028006,
-2.12487860142858,
0.6774442982577891,
0.716109387913141,
0.09872119620346101,
0.526... | [
"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: ["rapid deterioration of gear or bearing due to wear", "slow degradation caused by gear wear", "short-lived object contact that moves through", "belt tension readjustment altering running condition"] | how_happened | belt tension readjustment altering running condition | [
"belt tension readjustment altering running condition"
] | [
"MCQ_cause"
] | [
"rapid deterioration of gear or bearing due to wear",
"slow degradation caused by gear wear",
"short-lived object contact that moves through",
"belt tension readjustment altering running condition"
] | 3 |
[
[
0.595997174816922,
0.42880652234162103,
0.596892134837754,
0.69982000590308,
-2.12487860142858,
0.72935582049615,
0.6863945386377931,
0.613539586212372,
0.42630025018028006,
-2.12487860142858,
0.6774442982577891,
0.716109387913141,
0.09872119620346101,
0.526... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 168 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["confirm belt tension has been readjusted", "track frictional losses and schedule maintenance before condition worsens", "quickly address product obstruction and verify the conveyor route", "immediately assess for any drastic imbalance and proceed with corrective balancing"] | suggested_fix | confirm belt tension has been readjusted | [
"confirm belt tension has been readjusted"
] | [
"MCQ_fix"
] | [
"confirm belt tension has been readjusted",
"track frictional losses and schedule maintenance before condition worsens",
"quickly address product obstruction and verify the conveyor route",
"immediately assess for any drastic imbalance and proceed with corrective balancing"
] | 0 |
[
[
0.6118000149726861,
0.626500010490417,
0.548500001430511,
0.5992000102996821,
0.6504999995231621,
0.5856000185012811,
0.562099993228912,
0.595499992370605,
0.5900999903678891,
0.5785999894142151,
0.557399988174438,
0.6347000002861021,
0.040699999779462,
0.37... | [
"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: ["temperature and vibration readings show a simultaneous jump", "temperature increases slowly, while vibration continues to follow typical patterns", "temperature and vibration experience a sharp concurrent rise", "vibration increases slowly over an extended period, while temperature stays consistent without a clear trend"] | what_happened | temperature increases slowly, while vibration continues to follow typical patterns | [
"temperature increases slowly, while vibration continues to follow typical patterns"
] | [
"MCQ_obs"
] | [
"temperature and vibration readings show a simultaneous jump",
"temperature increases slowly, while vibration continues to follow typical patterns",
"temperature and vibration experience a sharp concurrent rise",
"vibration increases slowly over an extended period, while temperature stays consistent without a... | 1 |
[
[
0.6118000149726861,
0.626500010490417,
0.548500001430511,
0.5992000102996821,
0.6504999995231621,
0.5856000185012811,
0.562099993228912,
0.595499992370605,
0.5900999903678891,
0.5785999894142151,
0.557399988174438,
0.6347000002861021,
0.040699999779462,
0.37... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the most likely cause of the anomalous pattern in these time series?
Choose from: ["slow lubrication depletion with negligible dynamic impact", "short-lived object contact that moves through", "steady wearing down of gear teeth", "abrupt roller lock under load with immediate friction surge and dynamic impact"] | how_happened | slow lubrication depletion with negligible dynamic impact | [
"slow lubrication depletion with negligible dynamic impact"
] | [
"MCQ_cause"
] | [
"slow lubrication depletion with negligible dynamic impact",
"short-lived object contact that moves through",
"steady wearing down of gear teeth",
"abrupt roller lock under load with immediate friction surge and dynamic impact"
] | 0 |
[
[
0.6118000149726861,
0.626500010490417,
0.548500001430511,
0.5992000102996821,
0.6504999995231621,
0.5856000185012811,
0.562099993228912,
0.595499992370605,
0.5900999903678891,
0.5785999894142151,
0.557399988174438,
0.6347000002861021,
0.040699999779462,
0.37... | [
"Acceleration",
"Velocity",
"Temperature"
] | You are a sensor time series analysis expert. In a sensor-based warehouse monitoring system, the vibration (measured in velocity and acceleration) and temperature of machines are collected hourly over approximately one week, resulting in three standardized sensor time series of length 167 each (Acceleration, Velocity, and Temperature). Standardization is performed using median and MAD (Median Absolute Deviation).
Based on the provided sensor time series, answer the following question: What is the best corrective action for the event implied by the anomalous pattern in these time series?
Choose from: ["track the slow progression of wear-related issues and set up an inspection", "confirm belt tension has been readjusted", "maintain surveillance of early heat rise and arrange for inspection", "monitor slow alignment drift and plan a precision alignment check"] | suggested_fix | maintain surveillance of early heat rise and arrange for inspection | [
"maintain surveillance of early heat rise and arrange for inspection"
] | [
"MCQ_fix"
] | [
"track the slow progression of wear-related issues and set up an inspection",
"confirm belt tension has been readjusted",
"maintain surveillance of early heat rise and arrange for inspection",
"monitor slow alignment drift and plan a precision alignment check"
] | 2 |
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