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
收藏
页码：335 / 342
页数：8
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