Infrared Technology, Volume. 43, Issue 11, 1097(2021)

A Multi-Attribute Fusion Method for Digitizing Infrared Thermal Characteristics of Power Equipment

Tiancheng ZHAO1, Lyu LUO2, Daiyong YANG1, He LIU1, Gang YUAN2, and Zhihao XU2、*
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(4)

    [8] [8] Huda ASN, Taib S. A comparative study of MLP networks using backpropagation algorithms in electrical equipment thermography[J]. Arab. J. Sci. Eng., 2014, 39: 3873-3885.

    [9] [9] ZOU H, HUANG F. A novel intelligent fault diagnosis method for electrical equipment using infrared thermography[J]. Infrared Physics & Technology, 2015, 73:29-35.

    [10] [10] LI B, ZHU X, ZHAO S, et al. HV power equipment diagnosis based on infrared imaging analyzing[C]//2006 International Conference on Power System Technology, IEEE, 2006: 1-4.

    [12] [12] LIU Y, PEI S T, FU W P, et al. The discrimination method as applied to a deteriorated porcelain insulator used in transmission lines on the basis of a convolution neural network[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2017, 24(6): 3559-3566.

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    ZHAO Tiancheng, LUO Lyu, YANG Daiyong, LIU He, YUAN Gang, XU Zhihao. A Multi-Attribute Fusion Method for Digitizing Infrared Thermal Characteristics of Power Equipment[J]. Infrared Technology, 2021, 43(11): 1097

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    Paper Information

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    Received: Mar. 18, 2021

    Accepted: --

    Published Online: Dec. 25, 2021

    The Author Email: Zhihao XU (zhxuhi@whu.edu.cn)

    DOI:

    CSTR:32186.14.

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