Rolling Bearing Fault Diagnosis Based on Wavelet Packet Decomposition and Multi-Scale Permutation Entropy

Rolling Bearing Fault Diagnosis Based on Wavelet Packet Decomposition and Multi-Scale Permutation Entropy

This paper presents a rolling bearing fault diagnosis approach by integrating wavelet packet decomposition (WPD) with multi-scale permutation entropy (MPE). The approach uses MPE values of the sub-frequency band signals to identify faults appearing in rolling bearings. Specifically, vibration signal...

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Bibliographic Details
Main Authors: Li-Ye Zhao, Lei Wang, Ru-Qiang Yan
Format: Article
Language:English
Published: MDPI AG 2015-09-01
Series:Entropy
Subjects:
wavelet packet decomposition
multi-scale permutation entropy
rolling bearings
fault diagnosis
hidden Markov model
Online Access:http://www.mdpi.com/1099-4300/17/9/6447

Internet

http://www.mdpi.com/1099-4300/17/9/6447

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