A Collaborative Domain Adversarial Network for Unlabeled Bearing Fault Diagnosis
At present, data-driven fault diagnosis has made significant achievements. However, in actual industrial environments, labeled fault data are difficult to obtain, making the industrial application of intelligent fault diagnosis models very challenging. This limitation even prevents intelligent fault...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2024-10-01
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| Collection: | Applied Sciences |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2076-3417/14/19/9116 |
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