Coloured Petri net diagnosers for lumped process systems

Toth, Attila, Nemeth, Erzsebet and Hangos, Katalin M. (2010). Coloured Petri net diagnosers for lumped process systems. In: Rossitza Setchi, Ivan Jordanov, Robert J. Howlett and Lakhmi C. Jain, 14th International Conference, KES 2010, Cardiff, Wales, (389-398). 8-10 September 2010. doi:10.1007/978-3-642-15390-7

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Author Toth, Attila
Nemeth, Erzsebet
Hangos, Katalin M.
Title of paper Coloured Petri net diagnosers for lumped process systems
Conference name 14th International Conference, KES 2010
Conference location Cardiff, Wales
Conference dates 8-10 September 2010
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2010
Sub-type Fully published paper
DOI 10.1007/978-3-642-15390-7
Open Access Status
ISBN 9783642153907
ISSN 0302-9743
Editor Rossitza Setchi
Ivan Jordanov
Robert J. Howlett
Lakhmi C. Jain
Volume 2
Issue 6277
Start page 389
End page 398
Total pages 10
Language eng
Abstract/Summary A model-based method is proposed in this paper for algorithmic generation of diagnosers in coloured Petri net (CPN) form from characteristic input-output traces obtained from a qualitative model of lumped process systems. The qualitative model contains the description of the considered persistent faults in the form of fault indicators, and it is transformed into a CPN. The diagnosers are constructed from a CPN obtained by the process mining methodology using the generated inputoutput traces for identically constant inputs. The concepts and methods are illustrated using a simple case study consisting of an industrial storage tank system with additive and multiplicative failures on sensors, and on the behaviour of a pump.
Keyword Coloured Petri nets
Qualitative model
Process mining
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Conference Paper
Collections: School of Chemical Engineering Publications
Official 2011 Collection
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Created: Tue, 01 Mar 2011, 22:00:25 EST by Dr Elizabeth Nemeth on behalf of School of Chemical Engineering