化工学报2012，Vol.63Issue(8)：2492-2499,8.DOI:10.3969/j.issn.0438-1157.2012.08.022
基于主曲线的软测量方法及其在精馏塔上的应用
Soft sensing method based on principal curves and its application in distillation columns
摘要
Abstract
In order to solve the problems of high dimension, data coupling with each other and nonlinearity in soft sensing of industrial processes, a new soft sensing method based on principal curves was proposed. The nonlinear regression model based on principal curves borrowed the basic idea of PLS and extracted latent variables by principal curves, and the correlation between dependent variables and independent variables was considered simultaneously. A polynomial function was used to fit nonlinear relations between latent variables in latent space. Data from nonlinear functions and VCM (vinyl chloride monomer) distillation columns respectively were used to validate the model. The results showed that the model could solve the nonlinearity problems which included high data coupling in the industrial process with less latent variables and more accurate predictions than traditional PLS model.关键词
主曲线/软测量/非线性回归/氯乙烯精馏塔Key words
principal curves/ soft sensing/ nonlinear regression/ VCM distillation columns分类
信息技术与安全科学引用本文复制引用
李浩,杨敏,石向荣,梁军..基于主曲线的软测量方法及其在精馏塔上的应用[J].化工学报,2012,63(8):2492-2499,8.基金项目
国家自然科学基金项目(61174114,60574047) （61174114,60574047）
国家高技术研究发展计划项目(2007AA04Z168). （2007AA04Z168）
