Manufacturing
15 columns
120 rows
8 formats

Manufacturing IoT Equipment Health Logs

This dataset offers detailed, time-stamped IoT sensor logs for manufacturing equipment, including operational metrics, status flags, and contextual data such as location and operator. It is ideal for predictive maintenance, real-time equipment monitoring, and supply chain optimization, enabling manufacturers to minimize downtime and improve operational efficiency.

last updated 5 Dec 2025
by GoMask

The brief that made it

Predictive maintenance and early fault detection

Sample rows

preview · 8 of 120 rows · all 15 columns

log_idstring	operational_statusstring	temperature_celsiusfloat	maintenance_flagboolean	operator_idstring	equipment_idstring	equipment_typestring	locationstring	timestampdatetime	sensor_idstring	vibration_levelfloat	power_consumption_wattsfloat	error_codestring	runtime_hoursfloat	notesstring
LOG-0001	operational	65.2	false	OP-101	EQ-0001	CNC	Line A - Station 1	2024-06-01T08:15:22Z	SEN-CNC-001	1.8	1800	blank	120.5	Routine log, parameters normal.
LOG-0002	idle	29.4	false	OP-110	EQ-0002	3D Printer	Print Bay - Table 2	2024-06-01T09:02:45Z	SEN-3DP-012	0.3	420	blank	0	Paused for filament reload.
LOG-0003	operational	35	false	OP-112	EQ-0003	Conveyor	Line B - Station 4	2024-06-01T09:17:08Z	SEN-CON-005	1	980	blank	84.3	Routine status check.
LOG-0004	maintenance	39.6	true	OP-115	EQ-0004	Robotic Arm	Assembly Zone - Bay 1	2024-06-01T09:44:19Z	SEN-ROB-008	0.9	1500	blank	220.1	Routine maintenance performed.
LOG-0005	operational	55.2	false	OP-103	EQ-0005	Laser Cutter	Laser Bay - Station 2	2024-06-01T10:01:30Z	SEN-LAS-004	1.4	2100	blank	312.7	Full specs within optimal range.
LOG-0006	fault	72.6	true	OP-101	EQ-0006	CNC	Line A - Station 2	2024-06-01T10:15:51Z	SEN-CNC-002	2.1	2000	E-CN-401	185	High temp detected, system shutdown.
LOG-0007	idle	22.1	false	OP-110	EQ-0002	3D Printer	Print Bay - Table 2	2024-06-01T10:35:05Z	SEN-3DP-012	0.2	0	blank	0	System off, cold start.
LOG-0008	operational	27.8	false	OP-111	EQ-0007	Conveyor	Line C - Station 2	2024-06-01T10:54:12Z	SEN-CON-007	0.5	835	blank	33.2	Routine log, conveyor started.
LOG-0009	operational	48.3	false	OP-104	EQ-0008	Laser Cutter	Laser Bay - Station 1	2024-06-01T11:12:24Z	SEN-LAS-001	1.2	1765	blank	100	Cutting session, parameters nominal.
LOG-0010	operational	41.7	false	OP-116	EQ-0009	Robotic Arm	Assembly Zone - Bay 2	2024-06-01T11:25:33Z	SEN-ROB-009	1.1	1350	blank	378.8	Routine arm cycle log.
LOG-0011	operational	60.7	false	OP-101	EQ-0001	CNC	Line A - Station 1	2024-06-01T11:42:40Z	SEN-CNC-001	1.6	1700	blank	121.3	Status normal, power usage typical.
LOG-0012	fault	80	true	OP-110	EQ-0010	3D Printer	Print Bay - Table 5	2024-06-01T12:01:07Z	SEN-3DP-018	2.4	650	E-3D-511	200.2	Nozzle overheating, urgent intervention.
LOG-0013	maintenance	28	true	OP-113	EQ-0011	Conveyor	Line B - Station 1	2024-06-01T12:22:39Z	SEN-CON-011	0.4	700	blank	15.1	Belt replaced, system checked.
LOG-0014	operational	54.8	false	OP-104	EQ-0012	Laser Cutter	Laser Bay - Station 3	2024-06-01T12:39:54Z	SEN-LAS-009	1.3	1975	blank	76.4	Laser operational, output verified.
LOG-0015	idle	36.9	false	blank	EQ-0013	Robotic Arm	Assembly Zone - Bay 3	2024-06-01T13:04:21Z	SEN-ROB-015	0.7	1425	blank	0	No operator assigned, arm idle.
LOG-0016	operational	33.2	false	OP-112	EQ-0003	Conveyor	Line B - Station 4	2024-06-01T13:20:36Z	SEN-CON-005	1.1	970	blank	85.1	Log updated, normal operation.
LOG-0017	maintenance	66.5	true	OP-102	EQ-0014	CNC	Line A - Station 3	2024-06-01T13:37:17Z	SEN-CNC-008	2	1930	blank	315.8	Spindle adjustment completed.
LOG-0018	operational	25.6	false	OP-110	EQ-0015	3D Printer	Print Bay - Table 3	2024-06-01T13:53:48Z	SEN-3DP-005	0.5	370	blank	58.9	Routine log, print completed.
LOG-0019	operational	52.1	false	OP-104	EQ-0016	Laser Cutter	Laser Bay - Station 4	2024-06-01T14:08:03Z	SEN-LAS-002	1.5	1805	blank	44	Laser calibrated, specs verified.
LOG-0020	operational	29.8	false	OP-113	EQ-0017	Conveyor	Line C - Station 5	2024-06-01T14:25:29Z	SEN-CON-013	0.6	940	blank	72.3	Belt tension checked.

What the 120 rows show

from the 120-row sample

Maintenance (operational status) stands out: 18 of its 18 rows have maintenance_flag = true, against 12 of 102 for the rest.

25%maintenance_flag = true
42.2median temperature_celsius
5equipment types
1.2median vibration_level
980median power_consumption_watts
84.7median runtime_hours

Maintenance flag rate by operational_statusmaintenance_flag = true

temperature_celsius117 rows, in bands of 25

Median 42.2, from -40.0 to 200.0.

operator_id117 rows with a value · 3 left blank

OP-11115
OP-38014
OP-11011
OP-20510
OP-1029
OP-1489
OP-1017
OP-1037
OP-1046
OP-2956

15 columns by typefrom the column list below

string 9
float 4
datetime 1
boolean 1

Columns

15 columns in four groups

blueprint · 15 columns
column	type	description	example
Text 9 columns
`log_id`	string	Unique identifier for each IoT equipment health log entryunique	LOG-0001
`equipment_id`	string	Unique identifier for the manufacturing equipment	EQ-0001
`equipment_type`	string	Type or model of the equipment (e.g., CNC, 3D Printer, Conveyor)5 types	CNC
`location`	string	Physical location of the equipment within the facility (e.g., 'Line A - Station 3')	Line A - Station 1
`sensor_id`	string	Unique identifier for the IoT sensor capturing the data	SEN-CNC-001
`operational_status`	string	Current operational status of the equipmentoperational · idle · maintenance · fault	operational
`error_code`	string	Error code reported by the equipment or sensor, if anyoptional	E-CN-401
`operator_id`	string	Identifier for the operator responsible for the equipment at the time of loggingoptional	OP-101
`notes`	string	Additional notes or comments from the operator or systemoptional	Routine status check.
Numbers 4 columns
`temperature_celsius`	float	Temperature reading from the equipment in degrees Celsius-40 to 200 · optional	65.2
`vibration_level`	float	Vibration level measured in mm/s or g-force0 or more · optional	1.8
`power_consumption_watts`	float	Power consumption of the equipment in watts0 or more · optional	1800
`runtime_hours`	float	Cumulative runtime of the equipment in hours since last maintenance0 or more · optional	120.5
Dates and times 1 column
`timestamp`	datetime	Date and time when the health log was recorded	2024-06-01T08:15:22Z
True or false 1 column
`maintenance_flag`	boolean	Indicates if the equipment is flagged for maintenance	false

Use it for

A manufacturing dashboard
The maintenance_flag rate, temperature_celsius by operational_status and a breakdown of operator_id. Excel, Power BI or Tableau.
Why do 30 of 120 rows have maintenance_flag = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs120
LOG-000165.2operatio…
LOG-000439.6maintena…
LOG-000672.6fault
A software demo
Believable logs with equipment_id, equipment_type and location to fill a screen in front of a buyer.

This dataset120 rows15 columns

Yours1,000 rows15 columnslocation: UK only

blueprint · manufacturing-iot-equipment-health-logs

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 15 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 one sensor reading per equipment per hour.
Include fields for vibration, temperature, runtime, and fault status.
Flag readings outside manufacturer thresholds as 'Alert'.
Link each record to specific equipment ID and location.
Exclude any readings during scheduled maintenance periods.

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: manufacturing-iot-equipment-health-logs

What should your data show?

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Sample rows

What the 120 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?