• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 10, 3073 (2022)
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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    DOI: 10.3964/j.issn.1000-0593(2022)10-3073-06 Cite this Article
    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 Copy Citation Text show less
    NIRS acquisition of insulating paper sample
    Fig. 1. NIRS acquisition of insulating paper sample
    Spectra of typical insulating paper samples
    Fig. 2. Spectra of typical insulating paper samples
    Flowchat of GPR modelling and performance comparison among different models
    Fig. 3. Flowchat of GPR modelling and performance comparison among different models
    Comparison of GPR model performances with different kennels
    Fig. 4. Comparison of GPR model performances with different kennels
    Results of model parameter sensitivity tests
    Fig. 5. Results of model parameter sensitivity tests
    DP prediction results of different quantitative analysis models
    Fig. 6. DP prediction results of different quantitative analysis models
    DP prediction results of four quantitative models
    Fig. 7. DP prediction results of four quantitative models
    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
    Table 1. Comparison of different DP prediction models for insulating paper
    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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