• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 10, 3161 (2022)
Yuan-chao FAN*, Xiao-jing CHEN*;, Guang-zao HUANG, Lei-ming YUAN, Wen SHI, and Xi CHEN
Author Affiliations
  • College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China
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    DOI: 10.3964/j.issn.1000-0593(2022)10-3161-07 Cite this Article
    Yuan-chao FAN, Xiao-jing CHEN, Guang-zao HUANG, Lei-ming YUAN, Wen SHI, Xi CHEN. Evaluation of Aging State of Wire Insulation Materials Based on Raman Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3161 Copy Citation Text show less
    Principle of Raman spectrum detection platform
    Fig. 1. Principle of Raman spectrum detection platform
    Sample accelerated aging flow chart
    Fig. 2. Sample accelerated aging flow chart
    Temperature aging spectrum of polypropylene at each stage
    Fig. 3. Temperature aging spectrum of polypropylene at each stage
    Temperature aging spectrum of PVC material at each stage
    Fig. 4. Temperature aging spectrum of PVC material at each stage
    UV aging spectrum of polypropylene at each stage
    Fig. 5. UV aging spectrum of polypropylene at each stage
    UV aging spectrum of PVC at each stage
    Fig. 6. UV aging spectrum of PVC at each stage
    Classification results of polypropylene raw data(a): Temperature aging LRC; (b): Temperature aging SVM; (c): UV aging LRC; (d): UV aging SVM
    Fig. 7. Classification results of polypropylene raw data
    (a): Temperature aging LRC; (b): Temperature aging SVM; (c): UV aging LRC; (d): UV aging SVM
    Data preprocessing spectrogram of polypropylene(a): Baseline correction; (b): Smoothing
    Fig. 8. Data preprocessing spectrogram of polypropylene
    (a): Baseline correction; (b): Smoothing
    Contribution rate of the first three principal components in Raman spectrum of polypropylene
    Fig. 9. Contribution rate of the first three principal components in Raman spectrum of polypropylene
    Classification effect of polypropylene material data preprocessing(a): Temperature aging SVM; (b): UV aging SVM
    Fig. 10. Classification effect of polypropylene material data preprocessing
    (a): Temperature aging SVM; (b): UV aging SVM
    型号电压功率温度范围
    DHG-9035A220 V/50 Hz850 WRT+10~300 ℃
    Table 1. Specific parameters of blast drying oven
    Yuan-chao FAN, Xiao-jing CHEN, Guang-zao HUANG, Lei-ming YUAN, Wen SHI, Xi CHEN. Evaluation of Aging State of Wire Insulation Materials Based on Raman Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3161
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