KACFormer: A Novel Domain Generalization Model for Cross-Individual Bearing Fault Diagnosis
Fault diagnosis methods based on deep learning have been widely applied to bearing fault diagnosis. However, current methods usually diagnose on the same individual device, which cannot guarantee reliability in real industrial scenarios, especially for new individual devices. This article explores a...
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| Main Authors: | Shimin Shu, Muchen Xu, Peifeng Liu, Peize Yang, Tianyi Wu, Jie Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/14/7932 |
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