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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