Novel imbalanced fault diagnosis method based on generative adversarial networks with balancing serial CNN and Transformer (BCTGAN)-Reference-Cited by-同舟云学术

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Novel imbalanced fault diagnosis method based on generative adversarial networks with balancing serial CNN and Transformer (BCTGAN)

Published:2024-12 Issue: Volume:258 Page:125171
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Chen Hualin,Wei Jianan^ORCID,Huang Haisong,Wen Long,Yuan Yage,Wu Jinxing

Funder

Guizhou University

Publisher

Elsevier BV

Reference44 articles.

1. Generative adversarial network: An overview of theory and applications;Aggarwal;International Journal of Information Management Data Insights,2021

2. Bearing Data Center | Case School of Engineering | Case Western Reserve University. (2021, August 5). Case School of Engineering. https://engineering.case.edu/bearingdatacenter.

3. MAHAKIL: Diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction;Bennin;IEEE Transactions on Software Engineering,2018

4. SMOTE: Synthetic minority over-sampling technique;Chawla;Journal of Artificial Intelligence Research,2002

5. Multi-scale GAN with transformer for surface defect inspection of IC metal packages;Chen;Expert Systems with Applications,2023

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