合成材料老化与应用2018，Vol.47Issue(2)：67-71,110,6.
柴油硫含量中红外光谱SPA-PLS快速检测研究
Detection of Diesel Sulfur Content Using Mid-near Infrared Spectroscopy Based on Variable Selection Algorithms and Multivariate Calibration Methods
摘要
Abstract
In order to compress computation to measure diesel sulfur content,the Regression Coefficient Analysis (RCA) and Successive Projections Algorithm(SPA) and Genetic Algorithm(GA) method were used to select fea-ture wavelength of diesel full spectrum,as PLS and MLR LS-SVM of linear and nonlinear prediction model of input variables. The result showed that RCA,SPA,GA algorithm to obtain the wavelength number were 7,8,16. PLS, MLR model was better than the LS-SVM model. In the three variable input models,the most accuracy was the SPA-PLS model. Its' RPD,RMSEP and r2prewere 1.99,0.0281 and 0.91.关键词
中红外光谱/柴油硫含量/特征波长/连续投影算法Key words
mid infrared (MIR) spectroscopy/diesel sulfur content/feature wavelength/successive projections algorithm分类
数理科学引用本文复制引用
吴意囡,詹白勺..柴油硫含量中红外光谱SPA-PLS快速检测研究[J].合成材料老化与应用,2018,47(2):67-71,110,6.基金项目
国家自然基金项目(61565005) （61565005）
台州科技计划项目(162gy45) （162gy45）
