ROLLING BEARING FAULT DIAGNOSIS BASED TWO TYPES OF FEATURES AND AFSA IMPROVED SVM

ROLLING BEARING FAULT DIAGNOSIS BASED TWO TYPES OF FEATURES AND AFSA IMPROVED SVM

To monitor the health of rolling bearing, the vibration signals are always used for fault diagnosis. However, the non-linear and non-stationary characteristics of vibration signals have not been solved in current methods. In this work, an intelligent fault diagnosis method is proposed, which is a se...

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Bibliographic Details
Main Authors: ZHANG LuYang, QIN Bo, ZHAO WenJun, LI Hong, ZHANG JianQiang, WANG JianGuao
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2019-01-01
Series:Jixie qiangdu
Subjects:
Variational mode decomposition;Kurtogram;Artificial fish swarm algorithm;Optimal combination of kernel function parameters
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.04.007

Internet

http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.04.007

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