Title :
On the identifiabiliy of gross errors in process industries
Author :
Xuanlin, Tang ; Congli, Mei
Author_Institution :
Jiangsu Coll. of Inf. Technol., Wuxi, China
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;
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
DOI :
10.1109/CCDC.2009.5195029
