西南交通大学教师主页 liyang--Home-- Yang Li, Feiyun Xu*, Chi-Guhn Lee. Self-supervised meta learning generative adversarial network for few-shot fault diagnosis of hoisting system with limited data

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Date of Birth: 1993-08-13

Date of Employment: 2022-12-26

Education Level: PhD graduate

Degree: Doctor of engineering

Gender: Male

Status: 在岗

Alma Mater: 东南大学

School/Department: 城市轨道交通学院（智慧城市与交通学院）

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Home > Research > Paper Publications

Yang Li, Feiyun Xu*, Chi-Guhn Lee. Self-supervised meta learning generative adversarial network for few-shot fault diagnosis of hoisting system with limited data

Impact Factor:12.3
Journal:IEEE Transactions on Industrial Informatics
Indexed by:SCI
Volume:19
Issue:3
Page Number:2474-2484. (IF=12.3)
Translation or Not:no
Date of Publication:2023-05-25
Included Journals:SCI

Pre One:Yang Li, X Meng*, S Xiao, F Xu, CG Lee. Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system

Next One:Yang Li, Lei Zou, Chi-Guhn Lee, Feiyun Xu*. A progressive decomposing and double screening strategy of VMD for weak fault extraction of hoisting machinery