A mixed-integer formulation for fault detection and diagnosis: Modelling and an illustrative example

Pousga Kabore, Krishna Busawon

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)

Abstract

In this paper, we propose a mixed integer optimization for diagnosis of fault events which changes the structure of the system model. The proposed approach aims at selecting the right model of the systems among a bank of models when some faults occur. This approach suits to the case where both abrupt faults (intermittent or permanent such as saturation or sudden shutdown) and incipient faults (continuous) are considered. The optimization helps finding the best combination of faults that have occurred. So doing, we go Further than analyzing incidence matrix of residual. Also, this approach allows to introduces fault occurrence logics such as the ones encountered when establishing fault trees.
Original languageEnglish
Title of host publicationProceedings of the 5th Biannual World Automation Congress
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages417-422
Volume14
ISBN (Print)9781889335193
Publication statusPublished - 2002

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