Discriminative fault diagnosis transfer learning network under joint mechanism
Abstract Unsupervised fault diagnosis methods for rotating machinery are gaining attention but face challenges such as feature extraction from vibration signals, aligning distributions between source and target domains, and managing domain shifts. This paper proposes a novel unsupervised transfer le...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-93996-1 |
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