کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6638668 | 461164 | 2014 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Classification of gasoline as with or without dispersant and detergent additives using infrared spectroscopy and multivariate classification
ترجمه فارسی عنوان
طبقه بندی بنزین به عنوان با یا بدون اسید سولفوریک و افزودنی مواد شوینده با استفاده از طیف سنجی مادون قرمز و طبقه بندی چند متغیره
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کلمات کلیدی
گازوئیل، مواد افزودنی مواد شوینده و پراکنده، طیف سنجی مادون قرمز، طبقه بندی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
چکیده انگلیسی
Gasoline may contain additives which can minimize the amount of pollutants emitted to the atmosphere. Detergents and dispersants added to gasoline can reduce gas emissions towards atmosphere and the formation of deposits in engines. The Brazilian Agency of Petroleum, Natural Gas and Biofuel (ANP) has established that Brazilian commercial gasoline must contain detergent and dispersant additives, thus requiring the development of methods for their identification in commercial gasoline. This work proposes a methodology which uses infrared spectra in the medium and near region (MIR and NIR) of the residue of distillation for classification of gasoline samples into two groups: with or without detergent/dispersant additives. The performances of three types of classification methods were compared: linear discriminant analysis (LDA), partial least squares discriminant analysis (PLS-DA) and Support Vector Machines (SVM). Different algorithms for selection of spectral variables for LDA were evaluated: stepwise (SW), genetic algorithm (GA) and successive projections algorithm (SPA). The best results were obtained using LDA/GA or SPA/LDA for MIR region.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuel - Volume 116, 15 January 2014, Pages 151-157
Journal: Fuel - Volume 116, 15 January 2014, Pages 151-157
نویسندگان
Michelle PatrÃcia Ferreira da Silva, LÃvia Rodrigues e Brito, Fernanda Araújo Honorato, Ana Paula Silveira Paim, Celio Pasquini, Maria Fernanda Pimentel,