Study on a novel fault diagnosis method based on integrating EMD, fuzzy entropy, improved PSO and SVM

Study on a novel fault diagnosis method based on integrating EMD, fuzzy entropy, improved PSO and SVM

In order to effectively improve the fault diagnosis accuracy of motor bearing, a new fault diagnosis method based on integrating empirical mode decomposition(EMD), fuzzy entropy, improved particle swarm optimization(PSO) algorithm and support vector machine (SVM) is proposed in this paper. In the pr...

Full description

Bibliographic Details
Main Authors: Wu Deng, Rui Yao, Meng Sun, Huimin Zhao, Yinglian Luo, Chang Dong
Format: Article
Language:English
Published: JVE International 2017-06-01
Series:Journal of Vibroengineering
Subjects:
motor bearing
fault diagnosis
EMD
fuzzy entropy
improved PSO
SVM
parameter optimization
Online Access:https://www.jvejournals.com/article/18052

Internet

https://www.jvejournals.com/article/18052

Similar Items