Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions-Reference-Cited by-同舟云学术

Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions

Published:2022-06-28 Issue:14 Volume:16 Page:1405-1416
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Wang Sihan¹^ORCID,Wang Dazhi¹,Kong Deshan¹^ORCID,Li Wenhui¹,Wang Jiaxing¹,Wang Huanjie²³

Affiliation:

1. School of Information Science and Engineering Northeastern University Shenyang China

2. School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China

3. Institute of Automation Chinese Academy of Sciences Beijing China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cth2.12315

Reference42 articles.

1. Deep multi-scale separable convolutional network with triple attention mechanism: A novel multi-task domain adaptation method for intelligent fault diagnosis

2. Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions

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