Health Monitoring and Prognosis of Hybrid Systems

Saïd Zabi, Pauline Ribot, and Elodie Chanthery
Submission Type: 
Full Paper
phmc_13_045.pdf2.36 MBSeptember 11, 2013 - 2:49am

Maintenance and repair of complex systems 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. 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 process has been implemented and tested on Matlab. Simulation
results on a water tank system show how prognosis and diagnosis interact into the architecture.

Publication Year: 
Publication Volume: 
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Submission Keywords: 
Fault Diagnosis and Prognosis
Hybrid Systems
health monitoring
Submission Topic Areas: 
Model-based methods for fault detection, diagnostics, and prognosis
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