An Integrated Framework for Diagnosis and Prognosis of Hybrid Systems

Elodie Chanthery (1) , Pauline Ribot (1)

1 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite

Complex systems are naturally hybrid: their dynamic behavior is both continuous and discrete. For these systems, maintenance and repair are an increasing part of the total cost of final product. Efficient diagnosis and prognosis techniques have to be adopted to detect, isolate and anticipate faults. This paper presents an original integrated theoretical framework for diagnosis and prognosis of hybrid systems. The formalism used for hybrid diagnosis is enriched in order to be able to follow the evolution of an aging law for each fault of the system. The paper presents a methodology for interleaving diagnosis and prognosis in a hybrid framework.

Domaines: Systèmes et contrôle [cs.SY]; Intelligence artificielle [cs.AI]; Génie logiciel [cs.SE]

Elodie Chanthery, Pauline Ribot. An Integrated Framework for Diagnosis and Prognosis of Hybrid Systems. Workshop on Hybrid Autonomous Systems ( HAS ), Mar 2013, Rome, Italy. 12p. ⟨hal-01027546⟩