1. Research Institute of Petroleum Processing, Beijing 100083, China 2. Beijing University of Chemical Technology, Beijing 100029, China 3. Beijing Yanhua Petrochemical Co. Ltd., Beijing 102500, China
Abstract:In petrochemical industries, the molar ratio between methanol and isobutylene is one of the most important control parameters in methyl tertiary butyl ether (MTBE) production plant. However, traditional on-line gas chromatography method is difficult to use in practice because of its high maintenance and low speed. On-line near infrared spectroscopy is hopeful to become an excellent alternative method for determining the parameter due to its rapidness, convenience, and less maintenance. Because of the nonlinearity of the measured parameter and near infrared spectra, support vector regression, a novel powerful nonlinear calibration method, was used to build calibration model in the present paper. Compared with the results of partial least squares (PLS) and artificial neural network (ANN) method, the prediction accuracy of support vector regression model is high enough to meet the demand for process control of MTBE unit. This calibration method can be applied to real online analysis of the molar ratio between methanol and isobutylene by near infrared spectroscopy.
Key words:Near infrared spectroscopy;Nonlinear calibration;Support vector regression;Artificial neural network;Molar ratio between methanol and isobutylene;Methyl tertiary butyl ether
褚小立1,袁洪福2,骆献辉3,许育鹏1,陆婉珍1. 支持向量回归建立测定醇烯比的近红外光谱校正模型[J]. 光谱学与光谱分析, 2008, 28(06): 1227-1231.
CHU Xiao-li1,YUAN Hong-fu2,LUO Xian-hui3,XU Yu-peng1,LU Wan-zhen1. Developing Near Infrared spectroscopy Calibration Model of Molar Ratio between Methanol and Isobutylene by Support Vector Regression. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(06): 1227-1231.
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