首页|期刊导航|高速铁路(英文)|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 networkOA

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

College of Railway Transportation,Hunan University of Technology,Zhuzhou 412007,ChinaCollege of Railway Transportation,Hunan University of Technology,Zhuzhou 412007,ChinaCollege of Railway Transportation,Hunan University of Technology,Zhuzhou 412007,ChinaCollege of Railway Transportation,Hunan University of Technology,Zhuzhou 412007,ChinaCollege of Railway Transportation,Hunan University of Technology,Zhuzhou 412007,ChinaWuxi Maimurun Environmental Technology Co.,Ltd,Wuxi 214000,China

Bearing fault diagnosisData fusionDomain adversarial trainingGCN

Bearing fault diagnosisData fusionDomain adversarial trainingGCN

《高速铁路(英文)》 2024 (2)

92-100,9

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).

10.1016/j.hspr.2024.04.003

评论

您当前未登录!去登录点击加载更多...