Qualitative Model Abstraction for Diagnosis

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TypeArticle
ConferenceThe 17th International Workshop on Qualitative Reasoning, August 20-22, 2003., Brasilla, Brazil
AbstractBuilding qualitative models is a crucial task for modelbased diagnosis. This paper discusses the techniques to automatically transform a quantitative model in CAD environment into a qualitative model, under the cases that the real numbered landmarks are known and unknown. With known landmarks, the abstraction is through the discretization process where the simulation data is discretized according to the given landmarks. If landmarks are unknown, the landmark generation process, which is inspired by the discriminability analysis for multiple behaviour modes, is applicable. For dynamic systems, the pseudo-variables are introduced to describe the dynamic behaviour. The techniques developed are demonstrated by a simplified automotive subsystem.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number46498
NPARC number8913945
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Record identifier98db93a9-0ad7-4a70-a49d-e2dbe13ef77c
Record created2009-04-22
Record modified2016-05-09
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