KICA-DPCA-Based Fault Detection of High-Speed Train Traction Motor Bearings
The signals of high-speed train traction motor bearings contain strong noise and exhibit non-linear and non-Gaussian characteristics. To address the aforementioned issues, this paper proposes a method that combines Kernel Independent Component Analysis and Deep Principal Component Analysis (KICA-DPC...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/13/7/552 |
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