A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing

A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing

Motor bearing is subjected to the joint effects of much more loads, transmissions, and shocks that cause bearing fault and machinery breakdown. A vibration signal analysis method is the most popular technique that is used to monitor and diagnose the fault of motor bearing. However, the application o...

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Bibliographic Details
Main Authors: Wu Deng, Shengjie Zhang, Huimin Zhao, Xinhua Yang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Motor bearing
fault diagnosis
empirical wavelet transform
fuzzy entropy
support vector machine
Fourier spectrum segmentation
Online Access:https://ieeexplore.ieee.org/document/8356572/

Internet

https://ieeexplore.ieee.org/document/8356572/

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