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

Zhongmei Wang Pengxuan Nie Jianhua Liu Jing He Haibo Wu Pengfei Guo

高速铁路（英文）2024，Vol.2Issue(2)：92-100,9.

高速铁路（英文）2024，Vol.2Issue(2)：92-100,9.DOI:10.1016/j.hspr.2024.04.003

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

Zhongmei Wang ¹Pengxuan Nie ¹Jianhua Liu ¹Jing He ¹Haibo Wu ¹Pengfei Guo²

作者信息

1. College of Railway Transportation,Hunan University of Technology,Zhuzhou 412007,China
2. Wuxi Maimurun Environmental Technology Co.,Ltd,Wuxi 214000,China
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摘要

关键词

Bearing fault diagnosis/Data fusion/Domain adversarial training/GCN

Key words

Bearing fault diagnosis/Data fusion/Domain adversarial training/GCN/

引用本文复制引用

Zhongmei Wang,Pengxuan Nie,Jianhua Liu,Jing He,Haibo Wu,Pengfei Guo..Bearing fault diagnosis based on a multiple-constraint modal-invariant graph convolutional fusion network[J].高速铁路（英文）,2024,2(2):92-100,9.

基金项目

This work was supported by the National Key R&D Program of China(2021YFF0501101),the Youth Project of Hunan Provincial Department of Education(22B0586),and the Education Reform Project of Hunan Provincial Department of Education(2022JGYB186). （2021YFF0501101）

高速铁路（英文）

ISSN：2949-8678

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