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用近红外光谱分析法测定汽油辛烷值
引用本文:曹动,谭吉春,陈哲,胡永明,韩素芳.用近红外光谱分析法测定汽油辛烷值[J].光谱学与光谱分析,1999,19(3):314-317.
作者姓名:曹动  谭吉春  陈哲  胡永明  韩素芳
作者单位:国防科技大学应用物理系光电技术教研室
摘    要:用近红外光谱技术测定汽油辛烷值,在高精度分光光度计上测得12个汽油标准样品和4个未知样品的近红外区吸收光谱,建立多元统计分析模型,用逐步回归法和偏最小二乘法对模型进行校准,并将其用于未知样品的预估分析,辛烷值的分析精度达到≤±1.0。

关 键 词:近红外光谱  多元统计分析  逐步回归法  偏最小二乘法  辛烷值

0.Pgasoline by Near Infrared Spectra Analysisrediction the Octane Number of
Dong CAO,Jichun TAN,Zhe CHEN,Yongming HU,Sufang HAN.0.Pgasoline by Near Infrared Spectra Analysisrediction the Octane Number of[J].Spectroscopy and Spectral Analysis,1999,19(3):314-317.
Authors:Dong CAO  Jichun TAN  Zhe CHEN  Yongming HU  Sufang HAN
Institution:Department of Applied Physics, National University of Defense Technology, 410073 Changsha.
Abstract:The feasibility of predicting the octane number by the near infrared spectra analysis technique in the quantitative analysis was investigated. 12 calibration gasoline samples and 4 prediction samples were collected and their absorption spectra were measured with a high precision model Lambda 19 scanning spectrophotometer. Based on the multivariate statistic model, stagewise regression and partial least squares were selected. A model of the correlation behavior between the spectra and octane number was established and calibrated, and then the prediction of octane number is made. The prediction error is +/-1.0 octane number in the best analysis results.
Keywords:Near infrared spectrum    Stagewise regression    Partial least squares regression    Octane number  
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