Domain generalization combining covariance loss with graph convolutional networks for intelligent fault diagnosis of rolling bearings

Intelligent fault diagnosis of rolling bearings has advanced significantly with the increase in labeled industrial data. However, the limited data for unknown working conditions poses a challenge to the generalization capabilities of current deep learning methods. Therefore, this article proposes a...

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Bibliographic Details

Main Authors:	Yan Song, Yibin Li, Lei Jia, Eve Zhang
Format:	Default Article
Published:	2024
Subjects:	Engineering Information and computing sciences Technology Electrical & Electronic Engineering Covariance loss Rolling bearings Fault diagnosis
Online Access:	https://hdl.handle.net/2134/28990976.v1
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