化工学报2011，Vol.62Issue(8)：2135-2139,5.DOI:10.3969/j.issn.0438-1157.2011.08.008
基于非线性鲁棒连续回归的汽油干点软测量
Soft sensing for dry point of gasoline based on nonlinear robust continuum regression
摘要
Abstract
A nonlinear robust continuum regression (NLRCR) modeling method combing radial basis function (RBF) and robust continuum regression (RCR) is presented to solve the problem that RCR algorithm hard to build the nonlinear system modeling of high predicting precision. Firstly, this approach uses RBF to carry out mapping transformation from nonlinear sample data to high dimension eigen space. Then, RCR algorithm is used for building linear regression modeling in high dimension eigen space. Simulation experiment is performed to show the effectiveness of this method. And it is utilized to develop a soft sensor model for the gasoline dry point in delayed coking, and highly precise prediction results are obtained compared with RCR and RBF-PLS methods.关键词
径向基函数/鲁棒连续回归/汽油干点/软测量Key words
radial basis function/ robust continuum regression/ gasoline dry point/ soft sensor分类
数理科学引用本文复制引用
王改堂,李平,苏成利,任朋辉..基于非线性鲁棒连续回归的汽油干点软测量[J].化工学报,2011,62(8):2135-2139,5.基金项目
辽宁省高校创新团队支持计划项目(2007T103) （2007T103）
辽宁省高等学校优秀人才支持计划项目(2008RC32) （2008RC32）
辽宁"百千万人才工程"项目(2008921039). （2008921039）
