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
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;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5661554
