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...

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Bibliographic Details
Main Authors: Ping Ma, Hongli Zhang, Wenhui Fan, Cong Wang
Format: Article
Language:English
Published: JVE International 2018-03-01
Series:Journal of Vibroengineering
Subjects:
Online Access:https://www.jvejournals.com/article/18278

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