文献类型：期刊文献

中文题名：PCA-RBFN模型在分馏塔航煤干点估计中的应用

英文题名：The Application of PCA - RBFN Model in Estimation of the Dry Point of Aviation Kerosene Oil

作者：翁尚雄[1];刘爱伦[2];俞金寿[2]

机构：[1]茂名石化公司,广东茂名525011;[2]华东理工大学自动化所,上海200237

年份：1999

卷号：20

期号：11

起止页码：22

中文期刊名：自动化仪表

外文期刊名：Process Automation Instrumentation

收录：CSTPCD;;北大核心:【北大核心1996】；

基金：国家重点实验室开放课题基金资助(编号:K97Z03)

语种：中文

中文关键词：软测量;神经网络;航煤干点;分馏塔

外文关键词：Software measurement Neuro network Dry point of aviation kerosene oil Separating column

摘要：介绍一种基于神经网络技术开发的用于加氢裂化分馏塔航煤干于点PCA-RBFN软测量模型.该模型已在实际装置上投入运行,精度完全满足工艺要求,为实现在线闭环控制创造了条件.
The paper introduces a soft measurement model PCA - RBFN which is developed on the basis of neuro network technology and used in dry point of aviation kerosene oil in hydrogen - added cracking separating column. The model has been put into operation in practical plant. Its accuracy fully meets the requirement of the technique. It created the foundation of implementation of on - line closed loop control.