DocumentCode
2081978
Title
A methodology for optimal sensor selection in chemical processes
Author
Muske, Kenneth R. ; Georgakis, Christos
Author_Institution
Dept. of Chem. Eng., Villanova Univ., PA, USA
Volume
5
fYear
2002
fDate
2002
Firstpage
4274
Abstract
A methodology for the optimal selection of measured variables for chemical processes is presented. This methodology determines the Pareto optimal trade-off between the process information that can be obtained and the sensor cost for the selected process measurements. The approach is demonstrated using a simulated CSTR process.
Keywords
chemical technology; covariance matrices; linear systems; observability; process control; process monitoring; sensors; state-space methods; stochastic systems; Pareto optimal trade-off; chemical processes; model-based approach; optimal sensor selection; process information; process measurements; sensor cost; simulated CSTR process; Chemical engineering; Chemical processes; Chemical sensors; Costs; Covariance matrix; Linear systems; Riccati equations; Sensor systems; State estimation; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2002. Proceedings of the 2002
ISSN
0743-1619
Print_ISBN
0-7803-7298-0
Type
conf
DOI
10.1109/ACC.2002.1024603
Filename
1024603
Link To Document