Identification and classification of fresh lubricants and used engine oils by GC/MS and bayesian model
Autor: | Nam Yee Kim, Geum Mun Nam, Yuna Kim, Dong-Kye Lee, Seh Youn Park, Kyoungjae Lee, Jaeyong Lee |
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Rok vydání: | 2014 |
Předmět: |
Pharmacology
Matching (statistics) Engineering business.industry Dimensionality reduction Pattern recognition Bayesian inference Analytical Chemistry Reduction (complexity) Diesel fuel Wavelet Principal component analysis Materials Chemistry Environmental Chemistry Artificial intelligence Gasoline business Agronomy and Crop Science Simulation Food Science |
Zdroj: | Analytical Science and Technology. 27:41-59 |
ISSN: | 1225-0163 |
DOI: | 10.5806/ast.2014.27.1.41 |
Popis: | The aims of this work were the identification and the classification of fresh lubricants and used engine oils of vehicles for the application in forensic science field-80 kinds of fresh lubricants were purchased and 86 kinds of used engine oils were sampled from 24 kinds of diesel and gasoline vehicles with different driving conditions. The sample of lubricants and used engine oils were analyzed by GC/MS. The Bayesian model technique was developed for classification or identification. Both the wavelet fitting and the principal component analysis (PCA) techniques as a data dimension reduction were applied. In fresh lubricants classification, the rates of matching by Bayesian model technique with wavelet fitting and PCA were 97.5% and 96.7%, respectively. The Bayesian model technique with wavelet fitting was better to classify lubricants than it with PCA based on dimension reduction. And we selected the Bayesian model technique with wavelet fitting for classification of lubricants. The other experiment was the analysis of used engine oils which were collected from vehicles with the several mileage up to 5,000 km after replacing engine oil. The eighty six kinds of used engine oil sample with the mileage were collected. In vehicle classification (total 24 classes), the rate of matching by Bayesian model with wavelet fitting was 86.4%. However, in the vehicle's fuel type classification (whether it is gasoline vehicle or diesel vehicle, only total 2 classes), the rate of matching was 99.6%. In the used engine oil brands classification (total 6 classes), the rate of matching was 97.3%. 요약 : 국내 시판제품으로 서울시내에서 구입한 산업용 윤활유, 이륜구동 윤활유, 선박용 윤활유, 자동 차용 윤활유(엔진오일, 수동 변속기 기어유, 자동변속기 오일) 등 80 종(기유 4종 포함)의 새 윤활유들 (80 classes)과 8종의 경유 차량과 16 종의 휘발유 차량에 각각 3종씩의 경유와 휘발유 전용 엔진 오일 |
Databáze: | OpenAIRE |
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