Infrared Technology, Volume. 45, Issue 6, 663(2023)

Thermal Defect Detection of Composite Insulator Based on One-dimensional Residual Network

Yifei DONG1... Xiaojie WANG2, Renshu WANG2, Jun XU2, Shengwen SHU1,* and Yiqing TAO1 |Show fewer author(s)
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    References(7)

    [10] [10] HAO R F, LIU C, CHENG Y Q. Application of CNN-1d based on feature fusion in bearing fault diagnosis[C]//2020 Eighth International Conference on Advanced Cloud and Big Data(CBD), 2020: 195-200.

    [11] [11] WU X Y, PENG Z K, REN J S, et al. Rub-impact fault diagnosis of rotating machinery based on 1-D convolutional neural networks[J]. IEEE Sensors Journal, 2020, 20(15): 8349-8363.

    [14] [14] ZHANG X, ZOU Y, SHI W. Dilated convolution neural network with leaky ReLU for environmental sound classification[C]//2017 22nd International Conference on Digital Signal Processing (DSP), 2017: 1-5.

    [15] [15] ZHANG K, SUN M, HAN T X, et al. Residual networks of residual networks: Multilevel residual networks[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2018, 28(6): 1303-1314.

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    DONG Yifei, WANG Xiaojie, WANG Renshu, XU Jun, SHU Shengwen, TAO Yiqing. Thermal Defect Detection of Composite Insulator Based on One-dimensional Residual Network[J]. Infrared Technology, 2023, 45(6): 663

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    Paper Information

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    Received: Nov. 8, 2021

    Accepted: --

    Published Online: Jan. 15, 2024

    The Author Email: Shengwen SHU (shushengwen@fzu.edu.cn)

    DOI:

    CSTR:32186.14.

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