Novel bearing fault diagnosis model integrated with dual-tree complex wavelet transform, permutation entropy and optimized FCM
In order to enhance the capability of feature extraction and fault classification of bearings, this study proposes a feature extraction approach based on dual-tree complex wavelet transform (DTCWT) and permutation entropy (PE), using the fuzzy c means clustering (FCM) to identify fault types. The vi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JVE International
2018-03-01
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| Series: | Journal of Vibroengineering |
| Subjects: | |
| Online Access: | https://www.jvejournals.com/article/18278 |