Acta Optica Sinica, Volume. 45, Issue 11, 1110002(2025)

Substation Intrusion Event Identification Method Based on DAS and GADF-CAFM-MSCNN

Zhiniu Xu1, Tianjie Ma1, Yangyang Cai2, and Lijuan Zhao1、*
Author Affiliations
  • 1School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, Hebei , China
  • 2College of Electric Power, Inner Mongolia University of Technology, Hohhot 010080, Inner Mongolia , China
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    References(22)

    [4] Zhao H H, Zhang M H, Fan M et al. Research on distributed fiber optic multi-parameter fusion sensing system[J]. Semiconductor Optoelectronics, 45, 1024-1030(2024).

    [7] Wu H J, Wang X L, Liao H B et al. Signal processing in smart fiber-optic distributed acoustic sensor[J]. Acta Optica Sinica, 44, 0106009(2024).

    [14] Wang W. Study on motor fault diagnosis method based on multi-scale convolutional neural network[D](2020).

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    Zhiniu Xu, Tianjie Ma, Yangyang Cai, Lijuan Zhao. Substation Intrusion Event Identification Method Based on DAS and GADF-CAFM-MSCNN[J]. Acta Optica Sinica, 2025, 45(11): 1110002

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    Paper Information

    Category: Image Processing

    Received: Nov. 26, 2024

    Accepted: Apr. 27, 2025

    Published Online: Jun. 24, 2025

    The Author Email: Lijuan Zhao (hdzlj@126.com)

    DOI:10.3788/AOS241793

    CSTR:32393.14.AOS241793

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