An Integrated Framework for Diagnosis and Prognosis of Hybrid Systems

Elodie Chanthery
Pauline Ribot

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.

In Luca Bortolussi, Manuela L. Bujorianu and Giordano Pola: Proceedings Third International Workshop on Hybrid Autonomous Systems (HAS 2013), Rome, 17th March 2013, Electronic Proceedings in Theoretical Computer Science 124, pp. 14–25.
Published: 22nd August 2013.

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