Genetic algorithm for fuel spill identification

被引:37
作者
Lavine, BK [1 ]
Brzozowski, D
Moores, AJ
Davidson, CE
Mayfield, HT
机构
[1] Clarkson Univ, Dept Chem, Potsdam, NY 13699 USA
[2] AL EQ, Tyndall AFB, FL 32403 USA
关键词
fuel spill identification; genetic algorithm; pattern recognition analysis; feature selection; machine learning; fingerprint data;
D O I
10.1016/S0003-2670(01)00946-1
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Gas chromatography is frequently used to fingerprint fuel spills, with the gas chromatograms of the spill sample and the different candidate fuels compared visually in order to seek a best match. However, visual analysis of gas chromatograms is subjective and is not always persuasive in a court of law. Pattern recognition methods offer a better approach to the problem of matching gas chromatograms of weathered fuels. Pattern recognition methods involve less subjectivity in the interpretation of the data and are capable of identifying fingerprint patterns within gas chromatographic (GC) data characteristic of fuel-type, even if the fuel samples comprising the training set have been subjected to a variety of conditions. In this paper, We report on the development of a genetic algorithm (GA) for pattern recognition analysis of GC fuel spill data. The pattern recognition GA incorporates aspects of artificial intelligence and evolutionary computations to yield a "smart" one-pass procedure for feature selection. Its efficacy is demonstrated by way of two studies recently completed in our laboratory on fuel spill identification. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:233 / 246
页数:14
相关论文
共 23 条
[1]  
[Anonymous], 1989, GENETIC ALGORITHM SE
[2]  
BRERETON RG, 1993, MULTIVARIATE PATTERN
[3]  
Coordinating Reseach Council, 1983, HDB AV FUEL PROP
[4]  
FRANK I E, 1989, Journal of Chemometrics, V3, P463, DOI 10.1002/cem.1180030304
[5]   RAW-MATERIALS TESTING USING SOFT INDEPENDENT MODELING OF CLASS ANALOGY ANALYSIS OF NEAR-INFRARED REFLECTANCE SPECTRA [J].
GEMPERLINE, PJ ;
WEBBER, LD ;
COX, FO .
ANALYTICAL CHEMISTRY, 1989, 61 (02) :138-144
[6]  
JAMES M, 1985, CLASSIFICATION
[7]   SOURCE IDENTIFICATION OF UNDERGROUND FUEL SPILLS BY PATTERN-RECOGNITION ANALYSIS OF HIGH-SPEED GAS CHROMATOGRAMS [J].
LAVINE, BK ;
MAYFIELD, H ;
KROMANN, PR ;
FARUQUE, A .
ANALYTICAL CHEMISTRY, 1995, 67 (21) :3846-3852
[8]   Genetic algorithms applied to pattern recognition analysis of high-speed gas chromatograms of aviation turbine fuels using an integrated Jet-A/JP-8 database [J].
Lavine, BK ;
Moores, AJ ;
Mayfield, H ;
Faruque, A .
MICROCHEMICAL JOURNAL, 1999, 61 (01) :69-78
[9]  
Lavine BK, 1998, ANAL LETT, V31, P2805
[10]   GAS-CHROMATOGRAPHY - PATTERN-RECOGNITION TECHNIQUES IN POLLUTION MONITORING [J].
LAVINE, BK ;
STINE, A ;
MAYFIELD, HT .
ANALYTICA CHIMICA ACTA, 1993, 277 (02) :357-367