Fault diagnosis of rotating machinery under time-varying speed based on order tracking and deep learning
Due to the disadvantages that rely on prior knowledge and expert experience in traditional order analysis methods and deep learning cannot accurately extract the features in time-varying conditions. A fault diagnosis method for rotating machinery under time-varying conditions based on tacholess orde...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JVE International
2020-03-01
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| Series: | Journal of Vibroengineering |
| Subjects: | |
| Online Access: | https://www.jvejournals.com/article/20784 |