An Integrated Model-Based Diagnostic and Prognostic Framework

Systems health monitoring is essential in guaranteeing the safe, efficient, and correct operation of complex engineered systems. Diagnosis, which consists of detection, isolation and identification of faults; and prognosis, which consists of prediction of the remaining useful life of components, subsystems, or systems; constitute systems health monitoring. This paper presents an integrated model-based diagnostic and prognostic framework, where we make use of a common modeling paradigm to model both the nominal and faulty behavior in all aspects of systems health monitoring. We illustrate our approach using a simulated propellant loading system that includes tanks, valves, and pumps.

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