Laser & Optoelectronics Progress, Volume. 56, Issue 3, 033002(2019)

Three-Dimensional Fluorescence Spectra Analysis of Oil Contaminants Based on Algorithm Combination Methodology

Zhikun Chen, Wei Huang*, Pengfei Cheng, Xiaowei Shen, and Fubin Wang
Author Affiliations
  • College of Electrical Engineering, North China University of Science and Technology, Tangshan, Hebei 063210, China
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    Figures & Tables(10)
    Change process of loss function
    Data analysis flow chart of ACM
    Trilinear decomposition based on ACM
    Three-dimensional fluorescence spectra of uncorrected standard solution and after pretreatment. (a) (d) 0# Diesel; (b)(e) 95# gasoline; (c)(f) ordinary kerosene
    X1 nuclear consensus diagnosis results and residual square sum analysis results
    (a)(b) ATLD analytical spectra and (c)(d) ACM analytical spectra of diesel, gasoline and kerosene
    • Table 1. Concentration of oil in the samplemg/L

      View table

      Table 1. Concentration of oil in the samplemg/L

      Sample0# Diesel95# GasolineKeroseneSample0# Diesel95# GasolineKerosene
      11.05.22.690.91.20.8
      20.24.82.4101.01.01.0
      31.23.61.2110.33.51.3
      40.43.21.8120.42.82.0
      52.52.63.5130.52.22.6
      60.62.45.0140.61.73.3
      75.01.24.5150.71.43.9
      80.81.02.0160.81.04.5
    • Table 2. Results obtained by each algorithm for analyzing diesel under different component numbers

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      Table 2. Results obtained by each algorithm for analyzing diesel under different component numbers

      SampleActualN=3N=4
      ATLDSWATLDPARAFACACMATLDSWATLDACM
      110.30.280.280.290.290.280.280.29
      120.40.390.390.380.380.370.390.38
      130.50.480.470.470.470.480.470.47
      140.60.560.580.590.590.560.580.59
      150.70.660.670.690.690.660.670.68
      160.80.780.780.780.780.780.780.78
      Average recovery /%95.3395.7996.6896.6894.5095.7996.44
    • Table 3. Results obtained by each algorithm for analyzing gasoline under different component numbers

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      Table 3. Results obtained by each algorithm for analyzing gasoline under different component numbers

      SampleActualN=3N=4
      ATLDSWATLDPARAFACACMATLDSWATLDACM
      113.53.413.363.383.393.413.293.39
      122.82.692.562.772.762.692.562.76
      132.22.082.082.102.162.082.082.16
      141.71.681.641.671.681.681.641.68
      151.41.381.361.371.381.381.291.38
      161.00.940.940.950.960.940.940.96
      Average recovery /%96.5794.9397.0197.8396.5793.7697.83
    • Table 4. Results obtained by each algorithm for analyzing kerosene under different component numbers

      View table

      Table 4. Results obtained by each algorithm for analyzing kerosene under different component numbers

      SampleActualN=3N=4
      ATLDSWATLDPARAFACACMATLDSWATLDACM
      111.31.271.231.261.241.271.231.24
      122.01.871.961.971.951.861.941.95
      132.62.562.542.552.552.562.542.55
      143.33.273.233.283.263.263.233.26
      153.93.743.713.753.773.743.713.77
      164.54.344.344.324.334.344.324.33
      Average recovery /%96.8596.6397.5197.1196.7296.3997.11
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    Zhikun Chen, Wei Huang, Pengfei Cheng, Xiaowei Shen, Fubin Wang. Three-Dimensional Fluorescence Spectra Analysis of Oil Contaminants Based on Algorithm Combination Methodology[J]. Laser & Optoelectronics Progress, 2019, 56(3): 033002

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    Paper Information

    Category: Spectroscopy

    Received: Jun. 15, 2018

    Accepted: Aug. 31, 2018

    Published Online: Jul. 31, 2019

    The Author Email: Huang Wei (huangwei_ncst@163.com)

    DOI:10.3788/LOP56.033002

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