Journal of Optoelectronics · Laser, Volume. 36, Issue 4, 421(2025)

Fault diagnosis of circuit breakers based on MSMOTE and FA-CNN-LSTM

ZHENG Yue1、*, YAO Ying2, JIN Cuicui2, CHEN Zhaoyu1, CAO Ranran3,4, and FAN Huaicong3,4
Author Affiliations
  • 1State Grid Tianjin Electric Power Company, Tianjin 300010, China
  • 2Electric Power Research Institute of State Grid Tianjin Electric Power Company, Tianjin 300384, China
  • 3Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin 300384, China
  • 4National Demonstration Center for Experimental Mechanical and Electrical Engineering Education,Tianjin University of Technology, Tianjin 300384, China
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    References(6)

    [8] [8] JI T,YI L,TANG W,et al.Multi-mapping fault diagnosis of high voltage circuit breaker based on mathematical morphology and wavelet entropy[J].CSEE Journal of Power and Energy Systems,2019,5(1):130-138.

    [9] [9] PAN Y,MEI F,MIAO H Y,et al.An approach for HVCB mechanical fault diagnosis based on a deep belief network and a transfer learning strategy[J].Journal of Electrical Engineering & Technology,2019,14:407-419.

    [10] [10] GAO W,WAI R J,QIAO S P,et al.Mechanical faults diagnosis of high-voltage circuit breaker via hybrid features and integrated extreme learning machine[J].IEEE Access,2019,7:60091-60103.

    [11] [11] XIA X F,RAO X J,SU Y,et al.Mechanical fault diagnosis of high voltage circuit breaker based on improved GSO-SVM algorithm[C]//2021 International Conference on Energy,Power and Electrical Engineering,September 24-26,2021,Jilin,China.London:IOP,2021,2087(1):012033.

    [12] [12] WAN S T,CHEN L.Fault diagnosis of high-voltage circuit breakers using mechanism action time and hybrid classifier[J].IEEE Access,2019,7:85146-85157.

    [17] [17] MA S L,CHEN M X,WU J W,et al.High-voltage circuit breaker fault diagnosis using a hybrid feature transformation approach based on random forest and stacked autoencoder[J].IEEE Transactions on Industrial Electronics,2018,66(12):9777-9788.

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    ZHENG Yue, YAO Ying, JIN Cuicui, CHEN Zhaoyu, CAO Ranran, FAN Huaicong. Fault diagnosis of circuit breakers based on MSMOTE and FA-CNN-LSTM[J]. Journal of Optoelectronics · Laser, 2025, 36(4): 421

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    Paper Information

    Received: Oct. 26, 2023

    Accepted: Mar. 21, 2025

    Published Online: Mar. 21, 2025

    The Author Email: ZHENG Yue (13820346730@163.com)

    DOI:10.16136/j.joel.2025.04.0557

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