Laser & Infrared, Volume. 54, Issue 3, 423(2024)

Multi-feature aggregated characterization of circuit breaker thermal fault diagnosis rating methods

SANG Jin-hai1, XU Zhi-hao1,2,3、*, LI Hong-bin2, KANG Bing1, DING Gui-li1, WANG Zong-yao1, and ZHANG Xing-wang1
Author Affiliations
  • 1School of Electrical Engineering, Nanchang Institute of Technology, Nanchang 330099, China
  • 2School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • 3Jiangxi Bowei New Technology Co., Ltd., Nanchang 330099, China
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    References(3)

    [7] [7] Huda A S N, Taib S. A comparative study of MLP networks using backpropagation algorithms in electrical equipment thermography[J]. Arabian Journal for ence & Engineering, 2014, 39(5): 3873-3885.

    [10] [10] Li B, Zhu X, Zhao S, et al. HV power equipment diagnosis based on infrared imaging analyzing[C]//International Conference on Power System Technology. IEEE, 2007.

    [11] [11] Zou H, Huang F. A novel intelligent fault diagnosis method for electrical equipment using infrared thermography[J]. Infrared Physics & Technology, 2015, 73(1350-4495): 29-35.

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    SANG Jin-hai, XU Zhi-hao, LI Hong-bin, KANG Bing, DING Gui-li, WANG Zong-yao, ZHANG Xing-wang. Multi-feature aggregated characterization of circuit breaker thermal fault diagnosis rating methods[J]. Laser & Infrared, 2024, 54(3): 423

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    Paper Information

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    Received: May. 18, 2023

    Accepted: Jun. 4, 2025

    Published Online: Jun. 4, 2025

    The Author Email: XU Zhi-hao (zhxuhi@whu.edu.cn)

    DOI:10.3969/j.issn.1001-5078.2024.03.014

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