Spectral Pattern Recognition of Heavy Mineral Oil Using Support Vector Machine Modeling

Hou Wei; Wang Jifen; He Xinlong

doi:10.3788/LOP202158.0630001

Laser & Optoelectronics Progress, Volume. 58, Issue 6, 630001(2021)

Spectral Pattern Recognition of Heavy Mineral Oil Using Support Vector Machine Modeling

Hou Wei, Wang Jifen^*, and He Xinlong

Author Affiliations

School of Investigation, People''s Public Security University of China, Beijing 100038, China

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Figures & Tables(9)

Fig. 1. Infrared spectra of some samples

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Fig. 2. Raman spectra of some samples

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Fig. 3. Classification accuracy of five kinds of heavy mineral oils under two types of spectral data models

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Fig. 4. Overall classification accuracy of five kinds of heavy mineral oils under the six types of data models of primary spectral fusion

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Fig. 5. Total classification accuracy of intermediate fusing spectrum under different dimensional characteristic variables

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Fig. 6. Spatial classification details of five kinds of heavy mineral oils

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Fig. 7. Infrared and Raman spectra of JC-1 and JC-2

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Table 1. Classification accuracy of five kinds of heavy mineral oils under the six types of data models of primary spectral fusion

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Table 1. Classification accuracy of five kinds of heavy mineral oils under the six types of data models of primary spectral fusion

Heavy mineral oil	Classification accuracy /%
Heavy mineral oil	Q1	Q2	Q3	Q4	Q5	Q6
Gasoline engine oil	75.00	85.00	80.00	80.00	75.00	75.00
Diesel engine oil	81.82	18.18	63.64	45.00	36.36	81.82
Grease	25.00	75.00	75.00	100	100	100
Gear oil	66.67	0	33.33	0	66.67	66.67
Hydraulic oil	0	50.00	0	50.00	0	0

Table 2. Classification of two samples to be determined
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Table 2. Classification of two samples to be determined
Sample to be determined Gasoline engine oil Diesel engine oil Grease Gear oil Hydraulic oil
JC-1 √
JC-2 √

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Hou Wei, Wang Jifen, He Xinlong. Spectral Pattern Recognition of Heavy Mineral Oil Using Support Vector Machine Modeling[J]. Laser & Optoelectronics Progress, 2021, 58(6): 630001

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