RESEARCH ON ROLLING BEARING FAULT DIAGNOSIS BASED ON MA OPTIMIZATION OF CNN

RESEARCH ON ROLLING BEARING FAULT DIAGNOSIS BASED ON MA OPTIMIZATION OF CNN

Aiming at the high dependence of super parameter selection on artificial experience in rolling bearing state identification based on convolution neural network(CNN),a fault diagnosis model(CNN⁃MA)based on mayfly algorithm(MA)was proposed.Firstly,the model used the powerful optimization ability of MA...

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Bibliographic Details
Main Authors: TIAN LiYong, ZHAO JianJun, YU Ning
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2024-08-01
Series:Jixie qiangdu
Subjects:
Convolution neural network
Mayfly algorithm
Rolling bearing
Fault diagnosis
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.04.005
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