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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: WANG YongDing, JIN ZiQi
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2021-01-01
Series:Jixie qiangdu
Subjects:
Rolling bearing
Fault diagnosis
Convolutional neural network
SVM
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.04.005
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items