DocumentCode
3445229
Title
A New Method of Data Classification in Data Reconciliation and Its Application
Author
Wu, Juan ; Shi, Hongbo
Author_Institution
East China Univ. of Sci. & Technol., Shanghai
fYear
2007
fDate
23-25 May 2007
Firstpage
1326
Lastpage
1328
Abstract
The observability of a variable and the redundancy of a measurement are basic information in designing process performance monitoring systems. In these papers an optimal algorithm is described which allows the classification of the operation variables of chemical plants. The results of this procedure are used to reduce the size of the reconciliation problem.
Keywords
chemical engineering computing; classification; process monitoring; chemical plants; data classification; data reconciliation; measurement redundancy; operation variables; optimal algorithm; process performance monitoring; reconciliation problem; variable observability; Chemical industry; Chemical processes; Chemical technology; Computerized monitoring; Design automation; Instruments; Observability; Power generation economics; Process design; Redundancy; Data reconciliation; Observability; Optimal algorithm; Reconciliation; Redundancy;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0737-8
Electronic_ISBN
978-1-4244-0737-8
Type
conf
DOI
10.1109/ICIEA.2007.4318621
Filename
4318621
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