An extended Qualitative Multi-faults ...
Type de document :
Communication dans un congrès avec actes
Titre :
An extended Qualitative Multi-faults Diagnosis from First Principles - I: Theory and Modelling
Auteur(s) :
Hu, Hexuan [Auteur]
Systèmes Tolérants aux Fautes [STF]
Gehin, Anne-Lise [Auteur]
Systèmes Tolérants aux Fautes [STF]
Merchez, Mireille [Auteur]
Systèmes Tolérants aux Fautes [STF]
Systèmes Tolérants aux Fautes [STF]
Gehin, Anne-Lise [Auteur]
Systèmes Tolérants aux Fautes [STF]
Merchez, Mireille [Auteur]
Systèmes Tolérants aux Fautes [STF]
Titre de la manifestation scientifique :
48th IEEE Conference on Decision and Control (CDC)
Ville :
Shanghai
Pays :
Chine
Date de début de la manifestation scientifique :
2009-12-16
Titre de l’ouvrage :
Proceedings of the 48th IEEE Conference on Decision and Control (CDC 2009)
Date de publication :
2009-12-16
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
This paper is part I of a two part effort that is intended to present a framework of multi-faults diagnosis. Reiter [14] has proposed a consistency-based approach for multi-faults diagnosis. We extend his theory to deal ...
Lire la suite >This paper is part I of a two part effort that is intended to present a framework of multi-faults diagnosis. Reiter [14] has proposed a consistency-based approach for multi-faults diagnosis. We extend his theory to deal with the dynamic and continuous systems and offer a necessary assumption and a formal demonstration. Multi-faults diagnosis is a partially observable problem because there is usually not enough information about faults. So the STRIPS, a classic technique of automated planning, is chosen to build the system model. It provides the reasoning ability for the multi-faults diagnosis when diagnosis is formalized as reasoning from effects to causes with causal knowledge.Lire moins >
Lire la suite >This paper is part I of a two part effort that is intended to present a framework of multi-faults diagnosis. Reiter [14] has proposed a consistency-based approach for multi-faults diagnosis. We extend his theory to deal with the dynamic and continuous systems and offer a necessary assumption and a formal demonstration. Multi-faults diagnosis is a partially observable problem because there is usually not enough information about faults. So the STRIPS, a classic technique of automated planning, is chosen to build the system model. It provides the reasoning ability for the multi-faults diagnosis when diagnosis is formalized as reasoning from effects to causes with causal knowledge.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :