[en] In this article, the monitoring of continuous processes using linear dynamic models is presented. It is outlined that dynamic extensions to conventional multivariate statistical process control (MSPC) models may lead to the inclusion of large numbers of variables in the condition monitor. To prevent this, a new dynamic monitoring scheme, based on subspace identification, is introduced, which can (i) determine a set of state variable for describing process dynamics and (ii) produce a reduced set of variables to monitor process performance. This is demonstrated by an application study to a realistic simulation of a chemical process.
Disciplines :
Chemical engineering Mechanical engineering
Author, co-author :
Kruger, Uwe; Queen's University Belfast > Intelligent Systems and Control Research Group
Treasure, Richard; University of Western Australia > Control Systems Research Group
Dimitriadis, Grigorios ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Intéractions fluide structure et aérodynamique expérimentale
Language :
English
Title :
Subspace Monitoring of Multivariate Dynamic Systems
Publication date :
July 2004
Event name :
7th Biennial ASME Conference on Engineering Systems Design and Analysis
Event organizer :
American Society of Mechanical Engineers
Event place :
Manchester, United Kingdom
Event date :
du 19 juillet 2004 au 22 juillet 2004
Audience :
International
Main work title :
Proceedings of 7th Biennial ASME Conference on Engineering Systems Design and Analysis
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