A brief review of recent in data reconciliation and gross error detection/estimation

被引：0

作者：

Bagajewicz, MJ ^{[1
]}

机构：

[1] Univ Oklahoma, Norman, OK 73072 USA

来源：

LATIN AMERICAN APPLIED RESEARCH | 2000年 / 30卷 / 04期

关键词：

data filtering; data reconciliation; gross error detection;

D O I：

暂无

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

This paper presents a brief review of the status of the field of data reconciliation. Techniques to perform gross error detection are outlined. A recently published theory on equivalency of gross errs and its impact on the ability to identify instrument bias and leak is outlined. Finally, a small review of the field of sensor location is performed.

引用

页码：335 / 342

页数：8

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