Unsupervised domain adaptive bearing fault diagnosis based on maximum domain discrepancy
Abstract In the existing domain adaptation-based bearing fault diagnosis methods, the data difference between the source domain and the target domain is not obvious. Besides, parameters of target domain feature extractor gradually approach that of source domain feature extractor to cheat discriminat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | https://doi.org/10.1186/s13634-023-01107-x |