中国光学2017，Vol.10Issue(6)：752-759,8.DOI:10.3788/CO.20171006.0752
中红外光谱技术对乙醇汽油乙醇含量的检测
Determination of the content of ethanol in ethanol gasoline using mid-infrared spectroscopy
摘要
Abstract
Ethanol gasoline is a new type of clean fuel , and the content of fuel ethanol in ethanol gasoline af-fects the performance of the engine .In order to ensure the reliability of engine operation , the ethanol content of ethanol gasoline should be detected quickly and accurately .This paper uses mid-infrared spectroscopy to quantitatively analyze the collected spectral data of ethanol gasoline .First, the original spectral data were pre-processed using multiple scattering correction (MSC), baseline correction, first derivative, second derivative and other pretreatment methods .Then, the predictive model of ethanol content in ethanol gasoline is estab-lished using ELM , LSSVM and PLS .By comparing the predictive ability of the three modeling methods , it is found that the accuracy of PLS method is higher than the other two methods .The model determination factor R2 is 0.958, RMSEP is 1.479%( V/V, volume ratio).The mid-infrared spectroscopy provides a new idea for the rapid and accurate detection of ethanol content of in ethanol gasoline .关键词
中红外光谱/乙醇汽油/极限学习机/最小二乘支持向量机/偏最小二乘Key words
mid infrared spectroscopy ( MIRS )/ethanol gasoline/extreme learning mathine ( ELM )/least squares support vector machine(LSSVM)/partial least squares(PLS)分类
化学化工引用本文复制引用
欧阳爱国,张宇,程梦杰,王海阳,刘燕德..中红外光谱技术对乙醇汽油乙醇含量的检测[J].中国光学,2017,10(6):752-759,8.基金项目
国家自然科学基金资助项目(No.61640417) （No.61640417）
江西省协同创新中心计划项目(赣教高字[2014]60号) Supported by National Natural Science Foundation of China ( No.61640417) （赣教高字[2014]60号）
Collaborative Innovation Center of Jiangxi Province(No.gjgz[2014]60) （No.gjgz[2014]60）
