Bearing Fault Diagnosis Method based on Sensitive Component and MCPG

Bearing Fault Diagnosis Method based on Sensitive Component and MCPG

Aiming at the problem that is difficult to accurately identify rolling bearing faults， a fault diagnosis method based on sensitive components and Multi Convolution Pooling Group （MCPG） is proposed. Firstly， the Empirical Mode Decomposition （EMD） is used to decompose the original signal into multiple...

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Bibliographic Details
Main Authors: Mingliang Zhang, Hongkun Li, Yue Ma, Gangjin Huang, Yuchen Xu
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2021-04-01
Series:Jixie chuandong
Subjects:
Fault diagnosis
Rolling bearing
EMD
Discrete Fréchet
Convolutional neural networks
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.04.014

Internet

http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.04.014

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