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On the specification of multiple models for diagnosis of dynamic systems

On the specification of multiple models for diagnosis of dynamic systems In this paper the issue of utilising multiple models for diagnosis of dynamic systems is explored. Models are defined by their properties; which are selected from the three categories: variables, relations, and structures. Also, Model-based Diagnosis is generally perceived to consist of three tasks: fault detection, fault isolation, and fault identification, dealing with the existence, location, and degree of a fault, respectively. In order to utilise multiple models for diagnosis it is necessary to have a correlation between the model properties and the diagnostic tasks. This provides a coherent means of guiding the switching process according to the task to be performed. A proof of concept of the process is demonstrated with reference to fault identification of a laboratory scale process system rig. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png AI Communications IOS Press

On the specification of multiple models for diagnosis of dynamic systems

AI Communications , Volume 14 (2) – Jan 1, 2001

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Publisher
IOS Press
Copyright
Copyright © 2001 by IOS Press, Inc
ISSN
0921-7126
eISSN
1875-8452
Publisher site
See Article on Publisher Site

Abstract

In this paper the issue of utilising multiple models for diagnosis of dynamic systems is explored. Models are defined by their properties; which are selected from the three categories: variables, relations, and structures. Also, Model-based Diagnosis is generally perceived to consist of three tasks: fault detection, fault isolation, and fault identification, dealing with the existence, location, and degree of a fault, respectively. In order to utilise multiple models for diagnosis it is necessary to have a correlation between the model properties and the diagnostic tasks. This provides a coherent means of guiding the switching process according to the task to be performed. A proof of concept of the process is demonstrated with reference to fault identification of a laboratory scale process system rig.

Journal

AI CommunicationsIOS Press

Published: Jan 1, 2001

There are no references for this article.