A Novel Fault Diagnosis Method of Rolling Bearings Based on AFEWT-KDEMI

A Novel Fault Diagnosis Method of Rolling Bearings Based on AFEWT-KDEMI

According to the dynamic characteristics of the rolling bearing vibration signal and the distribution characteristics of its noise, a fault identification method based on the adaptive filtering empirical wavelet transform (AFEWT) and kernel density estimation mutual information (KDEMI) classifier is...

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Bibliographic Details
Main Authors: Mingtao Ge, Jie Wang, Fangfang Zhang, Ke Bai, Xiangyang Ren
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Entropy
Subjects:
empirical wavelet transform
hypothesis test
adaptive filtering
kernel density estimation
mutual information
rolling bearings fault diagnosis
Online Access:http://www.mdpi.com/1099-4300/20/6/455

Internet

http://www.mdpi.com/1099-4300/20/6/455

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