Data reconciliation - Progress and challenges

被引：155

作者：

Crowe, CM

机构：

[1] Department of Chemical Engineering, McMaster University, Hamilton

来源：

JOURNAL OF PROCESS CONTROL | 1996年 / 6卷 / 2-3期

关键词：

reconciliation; steady state;

D O I：

10.1016/0959-1524(96)00012-1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Measurements in a chemical process are subject to errors, both random and systematic, so that the laws of conservation of mass and energy are not obeyed. In order to record the performance of the process, these measurements are adjusted in order that they conform to the conservation laws and any other constraints imposed upon them. This procedure is known as data reconciliation. Advances in the theory and application of data reconciliation are reviewed and current problems are highlighted. In addition to defining the basic problem, we discuss the detection of gross errors in data and of pre-adjustment of data, finding departures from steady state, estimation of the variance structure of the data, observability of unmeasured quantities and redundancy of measurements.

引用

页码：89 / 98

页数：10

共 88 条

[1] SENSOR NETWORK DESIGN FOR MAXIMIZING RELIABILITY OF LINEAR-PROCESSES [J].