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    Journals >Spectroscopy and Spectral Analysis >Volume 41 >Issue 8 >Page 2505 > Article
    • Spectroscopy and Spectral Analysis
    • Vol. 41, Issue 8, 2505 (2021)
    Study on Oil Identification Method Based on Three-Dimensional Fluorescence Spectrum Combined With Two-Dimensional Linear Discriminant Analysis
    De-ming KONG1、*, Rui DONG1、1;, Yao-yao CUI2、2; *;, Shu-tao WANG1、1;, and Hui-chao SHI3、3;
    Author Affiliations
  • 11. School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
  • 22. School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
  • 33. School of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
    • show less
    DOI: 10.3964/j.issn.1000-0593(2021)08-2505-06 Cite this Article
    De-ming KONG, Rui DONG, Yao-yao CUI, Shu-tao WANG, Hui-chao SHI. Study on Oil Identification Method Based on Three-Dimensional Fluorescence Spectrum Combined With Two-Dimensional Linear Discriminant Analysis[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2505 Copy Citation Text show less
    Three-dimensional fluorescence spectrum of lubricating oil(a): Before removing scattering; (b): After removing scattering
    Fig. 1. Three-dimensional fluorescence spectrum of lubricating oil
    (a): Before removing scattering; (b): After removing scattering
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    Original emission and excitation spectrum of lubricating oil and characteristics of training sample obtained by projection vector(a): Emission spectrum; (b): Excitation spectrum; (c): First emission characteristic; (d): Second emission characteristic; (e): First excitation characteristic; (f): Second excitation characteristic
    Fig. 2. Original emission and excitation spectrum of lubricating oil and characteristics of training sample obtained by projection vector
    (a): Emission spectrum; (b): Excitation spectrum; (c): First emission characteristic; (d): Second emission characteristic; (e): First excitation characteristic; (f): Second excitation characteristic
    Download full size | View in the Article
    First three principal component score
    Fig. 3. First three principal component score
    Download full size | View in the Article
    Principal componentContribution rate/%
    PC166.52
    PC219.63
    PC34.61
    PC43.12
    PC52.61
    PC60.92
    PC70.34
    PC80.27
    PC90.26
    PC100.23
    Table 1. Contribution rate of principal component
    View in the Article
    emissionexcitation
    DJGLDJGL
    D40003001
    J03000300
    G01400050
    L00080008
    SENS/%1001008010075100100100
    SPEC/%1009410010010010010092
    ACC/%1001008010075100100100
    Table 2. Classification results after 2D-LDA characteristics extraction
    View in the Article
    DJGLAcc/%
    D300175
    J0300100
    G004180
    L010787.5
    SENS/%751008088
    SPEC/%1009410083
    Table 3. Classification result after principal component characteristic extraction
    View in the Article
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    De-ming KONG, Rui DONG, Yao-yao CUI, Shu-tao WANG, Hui-chao SHI. Study on Oil Identification Method Based on Three-Dimensional Fluorescence Spectrum Combined With Two-Dimensional Linear Discriminant Analysis[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2505
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    Paper Information
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