Laser & Optoelectronics Progress, Volume. 60, Issue 21, 2130002(2023)

Aging State Discrimination of Oil-Paper Insulation Using Raman Spectroscopy and Integrated Enhanced KNN

Xingang Chen1,2, Yijie Fan1, Zhipeng Ma1、*, Shiyao Tan1, Ningyi Li1, Xin Song1, Yuyang Huang1, Jinjing Zhang1, and Wenxuan Zhang1
Author Affiliations
  • 1School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China
  • 2Chongqing Engineering Research Center of Energy Interconnection, Chongqing 400054, China
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    References(16)

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    [10] Yang D K, Chen W G, Zhou W R et al. Recognition of aging stage of oil-paper insulation based on surface enhanced Raman scattering and kernel entropy component analysis[J]. IEEE Access, 7, 127862-127873(2019).

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    [12] Fan Z, Chen W G, Wan F et al. Raman spectroscopy diagnosis of oil-paper insulation ageing based on wavelet packet energy entropy and fisher discrimination[J]. Spectroscopy and Spectral Analysis, 38, 3117-3123(2018).

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    [17] Chen X G, Cui W K, Zhu Y Y et al. A transformer Raman spectrum aging evaluation model based on improved KNN algorithm for different transformer’s oil-paper ratio[J]. Journal of Chongqing University of Technology (Natural Science), 35, 176-182(2021).

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    Xingang Chen, Yijie Fan, Zhipeng Ma, Shiyao Tan, Ningyi Li, Xin Song, Yuyang Huang, Jinjing Zhang, Wenxuan Zhang. Aging State Discrimination of Oil-Paper Insulation Using Raman Spectroscopy and Integrated Enhanced KNN[J]. Laser & Optoelectronics Progress, 2023, 60(21): 2130002

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    Paper Information

    Category: Spectroscopy

    Received: Apr. 7, 2023

    Accepted: May. 19, 2023

    Published Online: Oct. 26, 2023

    The Author Email: Zhipeng Ma (mazhipeng@cqut.edu.cn)

    DOI:10.3788/LOP231050

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