Spectroscopy and Spectral Analysis, Volume. 42, Issue 10, 3073(2022)

Application of Gaussian Process Regression on the Quantitative Analysis of the Aging Condition of Insulating Paper by Near-Infrared Spectroscopy

Yuan LI1、1;, Wen-bo ZHANG1、1;, Xiao-lin CHEN2、2; 3;, Han LI1、1;, and Guan-jun ZHANG1、1;
Author Affiliations
  • 11. State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China
  • 22. Electric Power Research Institute of Hainan Power Grid Co., Ltd., Haikou 570125, China
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    Figures & Tables(8)
    NIRS acquisition of insulating paper sample
    Spectra of typical insulating paper samples
    Flowchat of GPR modelling and performance comparison among different models
    Comparison of GPR model performances with different kennels
    Results of model parameter sensitivity tests
    DP prediction results of different quantitative analysis models
    DP prediction results of four quantitative models
    • Table 1. Comparison of different DP prediction models for insulating paper

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      Table 1. Comparison of different DP prediction models for insulating paper

      建模方法校正集验证集
      样本
      数量
      RMSEr样本
      数量
      RMSEr
      PLS[6]386105.00.8292104.70.82
      SVR[7]110.60.80105.50.81
      BPNN[8]75.30.9278.30.90
      GPR65.50.9470.60.93
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    Yuan LI, Wen-bo ZHANG, Xiao-lin CHEN, Han LI, Guan-jun ZHANG. Application of Gaussian Process Regression on the Quantitative Analysis of the Aging Condition of Insulating Paper by Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3073

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    Paper Information

    Category: Research Articles

    Received: Jun. 3, 2021

    Accepted: Mar. 15, 2022

    Published Online: Nov. 23, 2022

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2022)10-3073-06

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