Multi-scale Gaussian feature enhancement and prototype graph convolutional network for domain-generalized rolling bearing fault diagnosis

Fault diagnosis systems often run under changing conditions and unseen domains, making model adaptation in these scenarios challenging. Domain generalization (DG) is crucial for maintaining performance on new, unseen data. However, many DG methods struggle with unstable alignment objectives, which s...

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Bibliographic Details

Main Authors:	Xiao Cong, Yinghao Zhuang, Yibin Li, Daichao Wang, Eve Zhang, Yan Song
Format:	Default Article
Published:	2025
Subjects:	Engineering Information and computing sciences Mathematical sciences Intelligent fault diagnosis Domain generalization Gaussian distributions Graph convolutional networks Prototype
Online Access:	https://hdl.handle.net/2134/30530399.v1
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