A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier

A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier

Timely and accurate state detection and fault diagnosis of rolling element bearings are very critical to ensuring the reliability of rotating machinery. This paper proposes a novel method of rolling bearing fault diagnosis based on a combination of ensemble empirical mode decomposition (EEMD), weigh...

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Bibliographic Details
Main Authors: Shenghan Zhou, Silin Qian, Wenbing Chang, Yiyong Xiao, Yang Cheng
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
rolling bearing
fault diagnosis
WPE
SVM ensemble classifier
hybrid voting strategy
Online Access:http://www.mdpi.com/1424-8220/18/6/1934

Internet

http://www.mdpi.com/1424-8220/18/6/1934

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