A universal transfer network for machinery fault diagnosis
Domain adaptation (DA) methods have achieved promising results in machinery fault diagnosis owing to their ability to mitigate the distribution discrepancy between domains. However, existing fault diagnosis methods based on DA are tailored for a specific setting, and highly rely on prior knowledge a...
Main Authors: | , , , , , , |
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Other Authors: | |
Format: | Journal Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/172198 |