信息与控制2013，Vol.42Issue(2)：258-263,272,7.DOI:10.3724/SP.J.1219.2013.00258
基于支持向量机回归的火电厂烟气含氧量软测量
Soft-sensor for Oxygen Content in Flue Gas of Coal-fired Power Plant Based on SVR
摘要
Abstract
For the problems of great investment, short service life, big measurement errors, etc. in the zirconia sensors for the power plant, the support vector regression algorithm is applied to dealing with the data collected in the distributed control systems of power plant. Kernel function k(xk,xi) is used to realize mapping from low dimension to high dimension instead of the inner product process in the nonlinear problems. So the low dimension nonlinear regression problem is transformed into the high dimension linear regression problem. The selection methods of auxiliary variables, kernel functions, kinds of parameters are given. The feasibility of this method is verified by a simulation experiment.关键词
软测量/辅助变量/核函数/支持向量机回归(SVR)Key words
soft-sensor/auxiliary variable/kernel function/support vector regression (SVR)分类
信息技术与安全科学引用本文复制引用
张倩,杨耀权..基于支持向量机回归的火电厂烟气含氧量软测量[J].信息与控制,2013,42(2):258-263,272,7.基金项目
河北省发电过程仿真与优化工程技术研究中心资助项目. （）
