Manufacturing
22 columns
121 rows
8 formats

Factory IoT Sensor Fault Logs

This dataset provides detailed logs of IoT sensor faults in manufacturing environments, including fault codes, severity, sensor readings, environmental conditions, and maintenance actions. It enables anomaly detection, predictive maintenance, and operational efficiency analysis by offering rich contextual and event-driven data for each fault occurrence.

opened 5 times
last updated 28 Nov 2025
by GoMask

The brief that made it

Anomaly detection and root cause analysis in factory operations

Sample rows

preview · 8 of 121 rows · all 22 columns

log_idstring	severity_levelstring	recovery_time_minutesfloat	maintenance_requiredboolean	production_line_idstring	timestampdatetime	factory_idstring	machine_idstring	sensor_idstring	sensor_typestring	fault_codestring	warning_codestring	fault_statusstring	operator_idstring	environment_temperature_cfloat	environment_humidity_pctfloat	environment_pressure_kpafloat	sensor_reading_valuefloat	sensor_reading_unitstring	maintenance_ticket_idstring	fault_descriptionstring	commentsstring
LOG-1A2B3C4D	major	12.7	true	PL-01A	2024-04-08T10:17:32Z	NEU-PLANT-01	MC-0001	SENS-0000011	temperature	FC-TEMP-001	blank	resolved	OP-1001	53.4	48.2	98.7	58.6	C	MT-104750	Temperature exceeded safe operating range.	Manual cooldown performed, system restored.
LOG-5F6E7G8H	critical	blank	true	PL-02B	2024-04-08T02:58:43Z	SOUTH-PLANT-02	MC-0002	SENS-0000023	vibration	FC-VIB-014	WRN-VIB-010	escalated	OP-1023	29.1	57.6	101.2	17.8	mm/s	MT-104751	Vibration amplitude above threshold.	Escalated to engineering. Safety stop triggered.
LOG-9I0J1K2L	major	blank	true	PL-01B	2024-04-09T23:50:02Z	NEU-PLANT-01	MC-0003	SENS-0000035	pressure	FC-PRS-021	blank	detected	OP-1041	33.8	44.9	93.6	93.6	kPa	MT-104752	Pressure dropped below 95 kPa.	Immediate attention required for leak check.
LOG-3M4N5O6P	minor	1.3	false	PL-04A	2024-04-10T06:22:15Z	WEST-PLANT-04	MC-0004	SENS-0000047	humidity	FC-HUM-008	WRN-HUM-003	resolved	blank	24.6	67	100.6	68.3	%RH	blank	Humidity spike detected in enclosure.	Automated system vented area.
LOG-7Q8R9S0T	warning	blank	false	PL-03B	2024-04-11T00:00:00Z	EAST-PLANT-03	MC-0005	SENS-0000059	proximity	FC-PROX-015	blank	detected	blank	18.4	35.1	97.6	0	cm	blank	Proximity sensor failed to detect object.	Sensor reset remotely.
LOG-1U2V3W4X	major	blank	true	PL-01A	2024-04-11T16:47:13Z	NEU-PLANT-01	MC-0006	SENS-0000061	current	FC-CUR-003	WRN-CUR-001	in_progress	OP-1102	27.5	51.2	99.3	42.3	A	MT-104753	Current spike detected on line.	Technician investigating power surge.
LOG-5Y6Z7A8B	minor	0.33	false	PL-02C	2024-04-12T13:35:08Z	SOUTH-PLANT-02	MC-0007	SENS-0000073	voltage	FC-VOLT-021	blank	resolved	OP-1203	32.1	30.2	102.8	187.5	V	blank	Voltage dropped below acceptable threshold.	Brief power dip, auto-compensated.
LOG-9C0D1E2F	critical	blank	true	PL-01B	2024-04-13T05:08:45Z	NEU-PLANT-01	MC-0008	SENS-0000085	temperature	FC-TEMP-003	WRN-TEMP-999	escalated	blank	1000	7.8	202	1000	C	MT-104754	Extreme temperature detected (1000 C).	Extreme outlier for system test.
LOG-3G4H5I6J	warning	blank	false	PL-04B	2024-04-14T13:20:11Z	WEST-PLANT-04	MC-0009	SENS-0000097	humidity	FC-HUM-012	blank	detected	blank	17.2	0	95.8	0	%RH	blank	Humidity below minimum threshold.	Sensor flagged dry condition event.
LOG-7K8L9M0N	major	blank	true	PL-03C	2024-04-14T23:55:55Z	EAST-PLANT-03	MC-0010	SENS-0000109	pressure	FC-PRS-017	WRN-PRS-004	in_progress	OP-1055	39.4	62.9	120.3	120.3	kPa	MT-104755	Sudden pressure fluctuation.	Increased pressure, monitoring ongoing.
LOG-1O2P3Q4R	critical	blank	true	PL-02A	2024-04-15T12:34:44Z	SOUTH-PLANT-02	MC-0011	SENS-0000112	voltage	FC-VOLT-020	blank	escalated	OP-1112	41.9	50.5	101.9	450	V	MT-104756	Voltage outlier detected (450V).	Extreme voltage spike, urgent inspection.
LOG-5S6T7U8V	minor	blank	false	PL-01C	2024-04-16T04:50:32Z	NEU-PLANT-01	MC-0012	SENS-0000124	current	FC-CUR-002	blank	detected	blank	22.5	47.8	100.2	0.12	A	blank	Current below minimum threshold.	Possible false alarm, monitoring.
LOG-9W0X1Y2Z	warning	0.08	false	PL-04C	2024-04-16T19:26:55Z	WEST-PLANT-04	MC-0013	SENS-0000136	other	FC-OTH-001	blank	resolved	OP-AUTO	25.2	49.3	98.1	1	unitless	blank	Unspecified sensor anomaly detected.	Self-healing completed by system.
LOG-3A4B5C6D	critical	blank	true	PL-03A	2024-04-17T21:11:11Z	EAST-PLANT-03	MC-0014	SENS-0000148	temperature	FC-TEMP-009	WRN-TEMP-005	escalated	blank	-15	20	102.5	-15	C	MT-104757	Temperature below normal range (-15C).	Extreme low temp, system suspended.
LOG-7E8F9G0H	major	blank	true	PL-01B	2024-04-18T09:29:27Z	NEU-PLANT-01	MC-0015	SENS-0000150	vibration	FC-VIB-015	WRN-VIB-006	detected	OP-1211	36.4	59.8	94.4	25.6	mm/s	MT-104758	Sudden increase in vibration, possible imbalance.	Potential rotor misalignment.
LOG-1I2J3K4L	major	6.4	true	PL-02A	2024-04-19T17:40:55Z	SOUTH-PLANT-02	MC-0016	SENS-0000162	humidity	FC-HUM-018	blank	resolved	OP-1073	28.9	98.7	99.9	98.7	%RH	MT-104759	Humidity exceeded 90%.	Dehumidification required.
LOG-5M6N7O8P	critical	blank	true	PL-04A	2024-04-20T01:16:09Z	WEST-PLANT-04	MC-0017	SENS-0000174	pressure	FC-PRS-009	blank	escalated	blank	15.6	14.8	0	0	kPa	MT-104760	Pressure sensor reading zero.	Possible sensor failure or leak.
LOG-9Q0R1S2T	minor	0.13	false	PL-03B	2024-04-20T05:55:22Z	EAST-PLANT-03	MC-0018	SENS-0000186	proximity	FC-PROX-017	WRN-PROX-003	resolved	blank	20.3	39.7	101.5	25.2	cm	blank	Object detected out of position.	No further action necessary.
LOG-3U4V5W6X	warning	blank	false	PL-02C	2024-04-21T12:13:33Z	SOUTH-PLANT-02	MC-0019	SENS-0000198	voltage	FC-VOLT-011	blank	detected	OP-AUTO	23.6	41.2	97.7	204.9	V	blank	Voltage fluctuation during shift start.	Event logged for trend analysis.
LOG-7Y8Z9A0B	major	blank	true	PL-04B	2024-04-21T22:49:01Z	WEST-PLANT-04	MC-0020	SENS-0000201	current	FC-CUR-009	WRN-CUR-004	detected	OP-1123	34.2	54.7	99.1	39.1	A	MT-104761	Current spike during late shift.	Electrical team notified.

What the 121 rows show

from the 121-row sample

Major (severity level) stands out: 39 of its 39 rows have maintenance_required = true, against 26 of 82 for the rest.

54%maintenance_required = true
0.39median recovery_time_minutes
4fault statuses
8sensor types
8sensor reading units
13factories

Maintenance required rate by severity_levelmaintenance_required = true

recovery_time_minutes34 rows, in bands of 5

Median 0.39, from 0.05 to 45.1.

production_line_id121 rows · top 10 of 23 values

PL-04A11
PL-03A10
PL-01B9
PL-04B9
PL-03C9
PL-04C9
PL-02B8
PL-02A8
PL-01A7
PL-03B7

22 columns by typefrom the column list below

string 15
float 5
datetime 1
boolean 1

Columns

22 columns in four groups

blueprint · 22 columns
column	type	description	example
Text 15 columns
`log_id`	string	Unique identifier for each sensor fault log entryunique	LOG-1A2B3C4D
`factory_id`	string	Unique identifier for the factory where the sensor is located	NEU-PLANT-01
`production_line_id`	string	Identifier for the specific production line within the factory	PL-01A
`machine_id`	string	Unique identifier for the machine or equipment monitored by the sensor	MC-0001
`sensor_id`	string	Unique identifier for the IoT sensor reporting the fault	SENS-0000011
`sensor_type`	string	Type of sensor (e.g., temperature, vibration, pressure, humidity, etc.)8 values	temperature
`fault_code`	string	Standardized code representing the type of fault detected	FC-TEMP-001
`fault_description`	string	Human-readable description of the fault event	Humidity exceeded 90%.
`warning_code`	string	Warning code associated with the fault, if any (blank if not applicable)optional	WRN-VIB-010
`severity_level`	string	Severity classification of the fault (e.g., critical, major, minor, warning)critical · major · minor · warning	major
`fault_status`	string	Current status of the fault (e.g., detected, in_progress, resolved, escalated)detected · in_progress · resolved · escalated	resolved
`operator_id`	string	Identifier for the operator or technician who handled the fault (blank if automated)optional	OP-1001
`sensor_reading_unit`	string	Unit of measurement for the sensor reading value (e.g., C, Pa, mm/s, %RH)8 units · optional	C
`maintenance_ticket_id`	string	Reference to the maintenance ticket created (blank if not applicable)optional	MT-104750
`comments`	string	Additional notes or comments about the fault eventoptional	Sensor reset remotely.
Numbers 5 columns
`recovery_time_minutes`	float	Time taken (in minutes) to recover from the fault, if resolved0 or more · optional	12.7
`environment_temperature_c`	float	Ambient temperature (in Celsius) at the time of the faultoptional	53.4
`environment_humidity_pct`	float	Ambient humidity (percentage) at the time of the fault0 to 100 · optional	48.2
`environment_pressure_kpa`	float	Ambient pressure (in kilopascals) at the time of the faultoptional	98.7
`sensor_reading_value`	float	Sensor reading value at the time of the fault (unit depends on sensor_type)optional	58.6
Dates and times 1 column
`timestamp`	datetime	Date and time when the fault was detected by the sensor	2024-04-08T10:17:32Z
True or false 1 column
`maintenance_required`	boolean	Indicates if maintenance was required as a result of the fault	true

Use it for

A manufacturing dashboard
The maintenance_required rate, recovery_time_minutes by severity_level and a breakdown of production_line_id. Excel, Power BI or Tableau.
Why do 65 of 121 rows have maintenance_required = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs121
LOG-1A2B3C4D12.7major
LOG-5F6E7G8Hcritical
LOG-3M4N5O6P1.3minor
A software demo
Believable logs with timestamp, factory_id and production_line_id to fill a screen in front of a buyer.

This dataset121 rows22 columns

Yours1,000 rows22 columns

blueprint · factory-iot-sensor-fault-logs

Behind this dataset

Same schema. As many rows as you need.

These 121 rows came out of a blueprint — 22 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Each row represents a unique IoT sensor event on a factory floor
Include timestamp, sensor ID, fault type, and severity
Environmental readings (temperature, vibration) must reflect abnormal conditions for fault events
Recovery time varies by fault severity, longer for critical faults
Fault frequency is higher during peak production shifts
Include a flag for whether fault was auto-resolved or required technician intervention

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: factory-iot-sensor-fault-logs

What should your data show?

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Sample rows

What the 121 rows show

Columns

Use it for

A manufacturing dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Manufacturing

What should your data show?