DocumentCode
3520123
Title
A study of gross error detection and data reconciliation
Author
Lingke Zhou ; Hongye Su ; Jian Chu
Author_Institution
National Laboratory of Industrial Control Technology & nstitute of Advanced Process Control
Volume
2
fYear
2004
fDate
15-19 June 2004
Firstpage
1668
Lastpage
1670
Abstract
Iterative measurement test (IMT) method is a effective method to detect gross errors of chemical process. But under the condition that measurement errors of process variable are correlated, the ZMT method´s power of correctly detect variable in gross error decrease. The situation when there is one gross error is studied, and therefore a modified IMT is introduced which can increase the power of correctly identifying variable.
Keywords
Error correction; Gaussian distribution; Iterative methods; Laboratories; Maximum likelihood estimation; Measurement errors; Pollution measurement; Statistical analysis; Testing; Vectors; Gross error detection; IMT; data reconciliation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Conference_Location
Hangzhou, China
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1340954
Filename
1340954
Link To Document