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
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;
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
DOI :
10.1109/ICIEA.2007.4318621
