Bearing fault diagnosis based on a multiple-constraint modal-invariant graph convolutional fusion network

Bearing fault diagnosis based on a multiple-constraint modal-invariant graph convolutional fusion network

Multisensor data fusion method can improve the accuracy of bearing fault diagnosis, in order to address the problems of single-sensor data types and the insufficient exploration of redundancy and complementarity between different modal data in most existing multisensor data fusion methods for bearin...

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Bibliographic Details
Main Authors:	Zhongmei Wang, Pengxuan Nie, Jianhua Liu, Jing He, Haibo Wu, Pengfei Guo
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2024-06-01
Series:	High-Speed Railway
Subjects:	Bearing fault diagnosis Data fusion Domain adversarial training GCN
Online Access:	http://www.sciencedirect.com/science/article/pii/S2949867824000291
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