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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items