ROLLING BEARING FAULT DIAGNOSIS BASED ON FUSION CNN AND PSO-SVM

Aiming at the problem that it is difficult to extract subtle fault features in the process of rolling bearing fault identification,this paper proposes a rolling bearing fault diagnosis method based on fusion convolutional neural network and support vector machine based on particle swarm optimization...

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Principais autores:	WANG YongDing, JIN ZiQi
Format:	Artigo
Jezik:	Chinês
Izdano:	Editorial Office of Journal of Mechanical Strength 2021-01-01
Serija:	Jixie qiangdu
Teme:	Rolling bearing Fault diagnosis Convolutional neural network SVM
Online dostop:	http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.04.005
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