DocumentCode
537494
Title
A Study of Gross Error Detection and Data Reconciliation in Process Industry
Author
Zhou, Lingke ; Li, Jiulong
Author_Institution
Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear
2010
fDate
7-9 Nov. 2010
Firstpage
1
Lastpage
3
Abstract
A modified method used in gross error detection and data reconciliation is introduced in this paper. The modified method combines NT (Nodal Test) method and SEGE (simultaneous estimation of gross errors) method to find nodes with gross error. The proposed method can decrease the number of combination and increase computation efficiency. Simulation results on a steam metering system verify the effectiveness of modified algorithm.
Keywords
error detection; process control; data reconciliation; gross error detection; nodal test; process industry; simultaneous estimation of gross errors; steam metering system; Computational efficiency; Estimation; Joining processes; Mathematical model; Measurement uncertainty; Process control; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location
Henan
Print_ISBN
978-1-4244-7159-1
Type
conf
DOI
10.1109/ICEEE.2010.5661554
Filename
5661554
Link To Document