DocumentCode
2840929
Title
On the identifiabiliy of gross errors in process industries
Author
Xuanlin, Tang ; Congli, Mei
Author_Institution
Jiangsu Coll. of Inf. Technol., Wuxi, China
fYear
2009
fDate
17-19 June 2009
Firstpage
5210
Lastpage
5214
Abstract
Gross error detection and discarded are the foundations of data reconciliation in process industries. High effective methods of gross error detection for both steady and dynamic systems have not be presented. So the proposition on the identifiability of gross errors is performed. The result of discussion on gross error identifiability and the theory of equivalent set are reviewed. And a new criterion of gross error identifiability is proposed based on the analysis of measurements correlation matrix. Theory analysis and simulation show the efficiency of the presented criterion.
Keywords
chemical engineering; chemical industry; correlation methods; data handling; production engineering computing; data reconciliation; dynamic systems; gross error detection; gross errors identifiability; measurements correlation matrix analysis; process industries; Analytical models; Computer errors; Data engineering; Educational institutions; Error correction; Information technology; Equivalent set; Gross error; Identifiability;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5195029
Filename
5195029
Link To Document