Industrial Conveyor Belt Motor Faults
Catalog Summary
"Synthetic and real vibration signals from conveyor belt motors, simulating normal operation vs. bearing failure for IIoT maintenance."
Catalog Notes
IIO Application
Monitoring the health of rotating machinery is the core of Industry 4.0. This dataset helps in detecting 'Early Bearing Failure' using acoustic and vibration sensors.
Metrics:
- Air Temp: Ambient temperature [K].
- Process Temp: Operating temperature [K].
- Rotational Speed: RPM.
- Torque: Applied force [Nm].
- Tool Wear: Accumulative wear time.
Data Preview
| Type | Air_Temp | Process_Temp | Rotational_Speed | Torque | Tool_Wear | Target |
|---|---|---|---|---|---|---|
| L | 298.1 | 308.6 | 1551 | 42.8 | 0 | 0 |
| L | 298.2 | 308.7 | 1408 | 46.3 | 3 | 0 |
| M | 298.1 | 308.5 | 1498 | 49.4 | 5 | 0 |
| H | 302.0 | 310.5 | 1350 | 65.2 | 120 | 1 |
Showing first few rows for preview
Cite This Catalog Record
IoTDataset.com (2026). Industrial Conveyor Belt Motor Faults — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/industrial-conveyor-motor-faults
The publisher's preferred dataset citation is not recorded. The text above cites this IoTDataset.com catalog record, not the underlying dataset.
Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 10, 2026
Review the Source Record
Confirm the licence, version, access conditions, file format, and provenance at the source before use.