Early fault detection for rolling bearings: A meta‐learning approach
Abstract Early fault detection (EFD) of rolling bearings aims at detecting the early symptoms of faults by monitoring small deviations of health states. Accurate EFD enables predictive maintenance and contributes to the stability of mechanical systems. In recent years, machine learning based methods...
| Published in: | IET Collaborative Intelligent Manufacturing |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-06-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1049/cim2.12103 |