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Industrial Bearing Fault Detection (Vibration)

Industrial IoT
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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 External

Cite 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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