Abstract
"Vibration sensor data for diagnosing mechanical faults in rotating machinery, covering healthy states vs. inner/outer race faults."
Description
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.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on External.
Preview on ExternalCite This Dataset
External (2026). Industrial Bearing Fault Detection (Vibration). [Dataset]. External. https://www.kaggle.com/datasets/sumairaziz/subf-v1-0-dataset-bearing-fault-vibration-data
Source: External (2026)
Indexed by IoTDataset.com on Jan 06, 2026
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