Intelligent fault diagnosis of rolling bearings based on deep network

Intelligent fault diagnosis of rolling bearings based on deep network

In order to solve the problem that the data distribution of the source domain and the target domain of rolling bearing is different in the variable working condition environment and the samples of the target domain do not contain labels, a fault diagnosis model of the rolling bearing based on the de...

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Bibliographic Details
Main Authors: LI Jincai, FU Wenlong, WANG Renming, CHEN Xing, MENG Jiaxin
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2022-04-01
Series:Gong-kuang zidonghua
Subjects:
rolling bearing
intelligent fault diagnosis
multiscale convolutional neural network
unlabeled target domain sample
deep learning
transfer learning
adaptive joint distribution
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022010008

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http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022010008

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