Bearing fault diagnosis method based on dual-channel feature fusion

Bearing fault diagnosis method based on dual-channel feature fusion

Intelligent diagnosis method based on convolution neural network (CNN) has been widely used in bearing fault diagnosis. However, most existing diagnostic models rely on single-source information inputs, limiting their accuracy and reliability. To solve this limitation, this paper presents a rolling...

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Bibliographic Details
Main Authors: ZHANG Xiaoning, ZHU Huilong, XIN Liang, YANG Muchen, WANG Hao
Format: Article
Language:zho
Published: Editorial Department of Electric Drive for Locomotives 2023-11-01
Series:机车电传动
Subjects:
rolling bearing
convolution neural network
feature fusion
fault diagnosis
high-speed train
Online Access:http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2023.06.005
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