ANALYTICAL ESTIMATOR OF MEASUREMENT ERROR VARIANCES IN DATA RECONCILIATION

被引：20

作者：

KELLER, JY

ZASADZINSKI, M

DAROUACH, M

机构：

[1] Laboratoire d'Automatique et de Recherche Appliquée (LARAL), CRAN CNRS UA, 54400 Longwy, 821, Route de Romain

来源：

COMPUTERS & CHEMICAL ENGINEERING | 1992年 / 16卷 / 03期

关键词：

D O I：

10.1016/0098-1354(92)85005-S

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Methods of data reconciliation are necessary for correct process control. They assume that measurement errors are random Gaussian variables with a known covariance matrix. A new analytical algorithm based on constraint residuals, calculated from available data is proposed to estimate the covariance matrix of measurement errors. An essential requirement for its application is sufficient spatial redundancy given by a structurally necessary condition of variance estimability. Two simulated examples are presented.

引用

页码：185 / 188

页数：4

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