An Integrated Framework for Diagnosis and Prognosis of Hybrid Systems
This work addresses maintenance and repair challenges for complex hybrid systems, but it appears incremental as it builds on existing formalisms without demonstrating broad SOTA impact.
The paper tackles the problem of diagnosing and predicting faults in hybrid systems, which have both continuous and discrete dynamics, by proposing an integrated theoretical framework that incorporates aging laws for faults and interleaves diagnosis and prognosis.
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.