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Proceedings Paper

Fluorescence optical fiber measurement system for identification of oil type based on 3D fluorescence spectrum parameterization
Author(s): Liping Shang; Ying Wang; Jinshan Shi
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Paper Abstract

In this paper, a portable fluorescence optical-fiber measurement system for identification of oil species is presented, which is based on fluorescence spectrum analysis, and combines the optical-fiber sensing technique and computer data processing technique. Fluorescence spectroscopy is enjoying increasing popularity as a technique for qualitative and quantitative analysis. Because of its great sensitivity, it is becoming an important tool for the identification of the type pf oil especially at low concentration levels. Conventional fluorescence methods suffer from low selectivity and are generally ineffective in spectral structural elucidation of carious oils because the different oil has fluorescence spectrum overlapping to great extent. The three-dimensional fluorescence spectroscopy overcomes the above-mentioned shortcomings. In this paper, the principle of 3-D fluorescence spectrum parameterization is introduced as a new spectral analysis method. The main feature parameters are mean, standard deviation, origin moment, marginal distribution, center moment, correlation coefficient and compression ellipse. We obtain the 3-D fluorescence spectrum of four kinds oils (crude oil, diesel fuel, kerosene, machine oil) by using fluorescence spectrophotometer in the lab and extract the feature parameters, which are weighting processed according to their sensitivity to the oil species for identification. The result suggests the degree of accuracy is as high as 95%.

Paper Details

Date Published: 9 September 2002
PDF: 7 pages
Proc. SPIE 4920, Advanced Sensor Systems and Applications, (9 September 2002); doi: 10.1117/12.481982
Show Author Affiliations
Liping Shang, Yanshan Univ. (China)
Ying Wang, Yanshan Univ. (China)
Jinshan Shi, Yanshan Univ. (China)


Published in SPIE Proceedings Vol. 4920:
Advanced Sensor Systems and Applications
Yun-Jiang Rao; Julian D. C. Jones; Hiroshi Naruse; Robert I. Chen, Editor(s)

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