A Cross-Domain Stacked Denoising Autoencoders for Rotating Machinery Fault Diagnosis Under Different Working Conditions
In fault diagnosis of rotating machinery, the shift in domain distributions caused by working condition fluctuations poses a major obstacle for accurate diagnosis. Due to the lack of domain adaptation ability, the diagnosis performance of existing deep learning-based methods degrades significantly w...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8723430/ |