Health Monitoring and Prognosis of Hybrid Systems

Saïd Zabi (1) , Pauline Ribot (1) , Elodie Chanthery (1)

1 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite

Maintenance and repair of complex systems are an increas- ing part of the total cost of final product. Efficient diagno- sis and prognosis techniques have to be adopted to detect, isolate and anticipate faults. Moreover the recent industrial systems are naturally hybrid: their dynamic behavior is both continuous and discrete. This paper presents an architecture of health monitoring and prognosis for hybrid systems. By using model and experience-based approach we propose an implementation of an integrated diagnosis/prognosis process based on Weibull probabilistic model. This article focuses particularly on the prognosis algorithm description. The pro- cess has been implemented and tested on Matlab. Simulation results on a water tank system show how prognosis and diag- nosis interact into the architecture.

Mots clés: health monitorin; diagnosis; prognosis; hybrid system

Domaines: Autre

Saïd Zabi, Pauline Ribot, Elodie Chanthery. Health Monitoring and Prognosis of Hybrid Systems. Annual Conference of the Prognostics and Health Management Society ( PHM ), Oct 2013, Nouvelle Orléans, United States. 12p. ⟨hal-01027538⟩