Unsupervised Feature-Preserving CycleGAN for Fault Diagnosis of Rolling Bearings Using Unbalanced Infrared Thermal Imaging Sample-Reference-Cited by-同舟云学术

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Unsupervised Feature-Preserving CycleGAN for Fault Diagnosis of Rolling Bearings Using Unbalanced Infrared Thermal Imaging Sample

Published:2024 Issue: Volume:12 Page:28449-28461
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Guo Lujiale¹^ORCID,Chuah Joon Huang¹^ORCID,Raymond Wong Jee Keen¹^ORCID,Gu Xiaohui²^ORCID,Yao Jie²,Chang Xiangqian²^ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia

2. State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10433491.pdf?arnumber=10433491

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review of imbalanced fault diagnosis technology based on generative adversarial networks;Journal of Computational Design and Engineering;2024-08-31

2. Fault Diagnosis of Gearbox Based on Cross-Domain Transfer Learning With Fine-Tuning Mechanism Using Unbalanced Samples;IEEE Transactions on Instrumentation and Measurement;2024

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