首页|期刊导航|自动化学报(英文版)|Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation
自动化学报(英文版)2024,Vol.11Issue(4):932-945,14.DOI:10.1109/JAS.2023.124083
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation
摘要
关键词
Deep transfer learning/domain adaptation/incor-rect label annotation/intelligent fault diagnosis/rotating machinesKey words
Deep transfer learning/domain adaptation/incor-rect label annotation/intelligent fault diagnosis/rotating machines引用本文复制引用
Bin Yang,Yaguo Lei,Xiang Li,Naipeng Li,Asoke K.Nandi..Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation[J].自动化学报(英文版),2024,11(4):932-945,14.基金项目
This work was supported in part by the National Key R&D Program of China(2022YFB3402100),the National Science Fund for Distinguished Young Scholars of China(52025056),the National Natural Science Foundation of China(52305129),the China Postdoctoral Science Foundation(2023M732789),the China Postdoctoral Innovative Talents Support Program(BX20230290),the Open Foundation of Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment(2022JXKF JJ01),and the Fundamental Research Funds for Central Universities. (2022YFB3402100)