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Surveillance des systèmes automatiques et systèmes embraqués

Mourad Benkaci 1
1 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : Mechatronic systems monitoring, especially those built on today's vehicles, is increasingly complicated. The interconnections of these systems for increased performance and comfort of vehicles increases the complexity of information needed for decision-making in real time. This PhD thesis is devoted to the problem of detection and isolation (FDI Fault Detection & Isolation) of faults in automotive systems using algorithms based on research and evaluation of information by mono-criterion approaches. Relevant variables for rapid detection of faults are selected in an automatic manner by using two different approaches: I. The first is to introduce the notion of conflict between all the measurable variables of mechatronic system and to analyze these variables using their projections in hyper-rectangles spaces classification. II. The second approach is to use Kolmogorov complexity as a tool for classification of fault signatures. The estimate of the Kolmogorov complexity by compression algorithms, without loss of information, allows defining a dictionary of faults and giving a score of criticality with respect to the healthy functioning of the vehicle. The two proposed approaches have been successfully applied to many types of automotive data in the ANR-DIAP project.
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Contributor : Arlette Evrard <>
Submitted on : Friday, December 2, 2011 - 10:07:27 AM
Last modification on : Thursday, June 10, 2021 - 3:02:04 AM
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  • HAL Id : tel-00647456, version 1


Mourad Benkaci. Surveillance des systèmes automatiques et systèmes embraqués. Automatique. Université Paul Sabatier - Toulouse III, 2011. Français. ⟨tel-00647456⟩



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