Hustbearing: Laboratory Bearing Failure Data with Time-Varying Speeds

CHAOZHAO-1 released the Hustbearing Dataset in May 2025, providing laboratory-collected sensor data for bearing fault diagnosis. The collection includes vibration signals captured under both stable and time-varying rotational speeds to support intelligent maintenance research.

Use Cases

• Developing fault classification models using the stable speed vibration signals
• Testing order tracking or time-frequency analysis methods on the time-varying speed records
• Benchmarking intelligent fault diagnosis algorithms against laboratory-collected mechanical failure data

Strengths

• Includes both stable and time-varying rotational speed conditions
• Laboratory-collected primary source data
• Open-source availability for fault diagnosis research

Limitations

• Unknown sample size and data volume
• Lack of detailed metadata regarding sensor placement or sampling frequency
• Potential laboratory-to-industry domain gap

Provenance

Source

CHAOZHAO-1 (GitHub)

Collection Method

Laboratory sensor collection

Freshness

Last updated May 2025.