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
  • show less
    Figures & Tables(10)
    Thermal aging experimental process
    Changes in the degree of polymerization of insulating paper
    Raman spectroscopy detection platform. (a) Schematic diagram; (b) physical image
    Raman spectroscopy pretreatment
    AA-KNN program block diagram
    Raman spectra of samples with different aging days
    Discrimination results of aging state of oil-paper insulation samples. (a) AA-KNN; (b) KNN
    Variation of accuracy of multiple experiments
    • Table 1. Classification of aging status categories

      View table

      Table 1. Classification of aging status categories

      Aging state categoryDegree of polymerization rangeSample size
      Phase 1>100030
      Phase 2900‒100016
      Phase 3800‒90019
      Phase 4700‒80017
      Phase 5600‒70017
      Phase 6500‒60018
      Phase 7350‒50015
      Phase 8250‒35013
      Phase 9150‒25012
      Phase 100‒15012
    • Table 2. Comparison chart of discriminant model effect

      View table

      Table 2. Comparison chart of discriminant model effect

      Discriminant modelAverage discriminant accuracyKappa indexAccuracy standard deviation /10-2
      AA-KNN0.98320.97802.11
      KNN0.91360.88963.20
      RF0.89340.87883.01
      XGBoost0.90130.89114.21
    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    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

    Topics