SOFT SENSING MODEL BASED ON SUPPORT VECTOR MACHINE AND ITS APPLICATION  

作　　者：YanWeiwu ShaoHuihe WangXiaofan 

机构地区：[1]DepartmentofAutomation,ShanghaiJiaotongUniversity,Shanghai200030,China

出　　处：《Chinese Journal of Mechanical Engineering》2004年第1期55-58,共4页中国机械工程学报（英文版）

基　　金：This project is supported by Special Foundation for Major State Basic Research of China (No.G1998030415).

摘　　要：Soft sensor is widely used in industrial process control. It plays animportant role to improve the quality of product and assure safety in production. The core of softsensor is to construct soft sensing model. A new soft sensing modeling method based on supportvector machine (SVM) is proposed. SVM is a new machine learning method based on statistical learningtheory and is powerful for the problem characterized by small sample, nonlinearity, high dimensionand local minima. The proposed methods are applied to the estimation of frozen point of light dieseloil in distillation column. The estimated outputs of soft sensing model based on SVM match the realvalues of frozen point and follow varying trend of frozen point very well. Experiment results showthat SVM provides a new effective method for soft sensing modeling and has promising application inindustrial process applications.Soft sensor is widely used in industrial process control. It plays animportant role to improve the quality of product and assure safety in production. The core of softsensor is to construct soft sensing model. A new soft sensing modeling method based on supportvector machine (SVM) is proposed. SVM is a new machine learning method based on statistical learningtheory and is powerful for the problem characterized by small sample, nonlinearity, high dimensionand local minima. The proposed methods are applied to the estimation of frozen point of light dieseloil in distillation column. The estimated outputs of soft sensing model based on SVM match the realvalues of frozen point and follow varying trend of frozen point very well. Experiment results showthat SVM provides a new effective method for soft sensing modeling and has promising application inindustrial process applications.

关 键 词：Soft sensor Soft sensing MODELING Support vector machine 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]