Industrial Bearing Fault Detection (Vibration)
Catalog Summary
"Vibration sensor data for diagnosing mechanical faults in rotating machinery, covering healthy states vs. inner/outer race faults."
Catalog Notes
Predictive maintenance is the core of Industry 4.0. This dataset contains vibration signals collected from a test rig simulating different machine states.
Dataset Classes:
- Healthy State: Baseline data for normal operation.
- Inner Race Fault: Defects in the inner ring of the bearing.
- Outer Race Fault: Defects in the outer ring.
Application:
Training Deep Learning models (CNN/RNN) to automatically detect machine failures from sensor noise.
Source: Kaggle (SUBF Dataset) - Research License.
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Preview on ExternalCite This Catalog Record
IoTDataset.com (2026). Industrial Bearing Fault Detection (Vibration) — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/industrial-bearing-fault-vibration
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Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 06, 2026
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