RETRACTED: Domain graph attention neural network: A new mechanical fault diagnosis method with few samples-Reference-Cited by-同舟云学术

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RETRACTED: Domain graph attention neural network: A new mechanical fault diagnosis method with few samples

Published:2024-04-18 Issue:4 Volume:46 Page:7875-7886
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Zhang Hongli¹,Wu Guangyu¹,Zhao Dongfang¹,Chen Yesheng²,Wei Dou³,Liu Shulin¹,Jiang Lunchang¹

Affiliation:

1. School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, Peoples R China

2. Beijing Petroleum Machinery Company Limited, Petroleum Engineering Research Institute, Beijing, China

3. Beijing Aerospace Propulsion Institute, Beijing, China

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference13 articles.

1. Long short-term memory;Hochreiter;Neural Computation,1997

2. Deep branch attention network and extreme multi-scale entropy based single vibration signal-driven variable speed fault diagnosis scheme for rolling bearing;Zhao;Advanced Engineering Informatics,2023

3. Multiscale convolutional neural networks for fault diagnosis of wind turbine gearbox;Jiang;IEEE Trans. Ind. Electron,2019

4. A Survey on Deep Transfer Learning;Tan;27th International Conference on Artificial Neural Networks (ICANN),2018

5. Continual learning classification method with constant-sized memory cells based on the artificial immune system;Li;Knowl. BaseSyst,2021

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