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Communication Dans Un Congrès Année : 2022

Fault diagnosis and modeling of hybrid systems through hybrid automata

Ilhem Hnayen
  • Fonction : Auteur
Hedi Dhouibi
  • Fonction : Auteur
  • PersonId : 861131
Chakib Ben Njima
  • Fonction : Auteur

Résumé

Despite technological progress in production systems, the fault diagnosis remains a very important task due to its role in improving reliability, the dependability, human safety and maintenance costs. This paper proposes a diagnosis approach for hybrid systems.The modeling of such hybrid systems through the use of hybrid automata. Our diagnosis approachis based on dynamical model which describes and incorporates the different functioning modes: normal, degraded and failing. The main idea is to build a diagnosis model capable to resolved the problem of fault diagnosis allowing to analyse, detect and locate the failure that affect the behavior of system. The proposed approach is validated by simulation tests in avionic system (fuel filling) with four tanks.
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Dates et versions

hal-03952848 , version 1 (23-01-2023)

Identifiants

  • HAL Id : hal-03952848 , version 1

Citer

Ilhem Hnayen, Hedi Dhouibi, Chakib Ben Njima, E. Gascard, Zineb Simeu-Abazi. Fault diagnosis and modeling of hybrid systems through hybrid automata. 6th International Conference on Control, Automation and Diagnosis (ICCAD'22), Jul 2022, Lisbon, Portugal. ⟨hal-03952848⟩
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