Infrared Technology, Volume. 47, Issue 2, 243(2025)

Infrared Image Fault Recognition Method for Disconnector Based on HOG Features

Shuangquan GUO1, Huan HAO2, and Yang WANG1
Author Affiliations
  • 1State Grid Xinjiang Company Limited Electric Power Research Institute, Urumqi 830011, China
  • 2Wuhan NARI Limited Liability Company of State Grid Electric Power Research Institute, Wuhan 430074, China
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    References(4)

    [4] [4] Jadin Mohd Shawal, Taib Soib. Recent progress in diagnosing the reliability of electrical equipment by using infrared thermography[J]. Infrared Physics Technology, 2012, 55(4): 236-245.

    [5] [5] Humberto Henao, Gerard-Andre Capolino, Manes Fernandez-Cabanas, et al. Trends in fault diagnosis for electrical machines: a review of diagnostic techniques[J]. IEEE Industrial Electronics Magazine, 2014, 8(2): 31-42.

    [9] [9] Choudhary M, Shafiq M, Kiitam I, et al. A review of aging models for electrical insulation in power cables[J]. Energies, 2022, 15(9): 3408.

    [10] [10] Haque S K M, Ardila-Rey J A, Umar Y, et al. Application and suitability of polymeric materials as insulators in electrical equipment[J]. Energies, 2021, 14(10): 2758.

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    GUO Shuangquan, HAO Huan, WANG Yang. Infrared Image Fault Recognition Method for Disconnector Based on HOG Features[J]. Infrared Technology, 2025, 47(2): 243

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    Paper Information

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    Received: May. 6, 2022

    Accepted: Mar. 13, 2025

    Published Online: Mar. 13, 2025

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