Reference : Subspace Monitoring of Multivariate Dynamic Systems
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Chemical engineering
Engineering, computing & technology : Mechanical engineering
Subspace Monitoring of Multivariate Dynamic Systems
Kruger, Uwe [Queen's University Belfast > Intelligent Systems and Control Research Group > > >]
Treasure, Richard [University of Western Australia > Control Systems Research Group > > >]
Dimitriadis, Grigorios mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Intéractions fluide structure et aérodynamique expérimentale >]
Proceedings of 7th Biennial ASME Conference on Engineering Systems Design and Analysis
Akay, A.
Arnas, O.
Cooper, J. E.
Egrigan, N.
Franco, F.
Stronge, W.
Paper ESDA2004-58587
New York
7th Biennial ASME Conference on Engineering Systems Design and Analysis
du 19 juillet 2004 au 22 juillet 2004
American Society of Mechanical Engineers
United Kingdom
[en] Condition monitoring ; Industrial Processes ; Supsbace Methods
[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.
Researchers ; Professionals

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