INFRARED, Volume. 45, Issue 3, 40(2024)

Fault Recognition of Power Equipment Infrared Images Based on Multilayer Deep Neural Networks

Xiao YU1、* and Guang-yao ZHUANG2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(9)

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    [10] [10] Suguna M, Roomi S M M, Sanofer I. Fault localisation of electrical equipments using thermal imaging technique [C]. Kollam: 2016 International Conference on Emerging Technological Trends(ICETT), 2016.

    [15] [15] Liu X, Li Y, Shuang F, et al. ISSD: Improved SSD for Insulator and Spacer Online Detection Based on UAV System [J]. Sensors, 2020, 20(23): 6961.

    [16] [16] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[J]. arXiv: 1409. 1556, 2014.

    [17] [17] Jiang H, Qiu X, Chen J, et al. Insulator fault detection in aerial images based on ensemble learning with multi-level perception [J]. IEEE Access,2019, 7: 61797-61810.

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    YU Xiao, ZHUANG Guang-yao. Fault Recognition of Power Equipment Infrared Images Based on Multilayer Deep Neural Networks[J]. INFRARED, 2024, 45(3): 40

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    Paper Information

    Received: Sep. 19, 2023

    Accepted: --

    Published Online: Sep. 29, 2024

    The Author Email: Xiao YU (yx_tjut@163.com)

    DOI:10.3969/j.issn.1672-8785.2024.03.006

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