2002 | OriginalPaper | Buchkapitel
Modeling Uncertainty in System-Level Fault Diagnosis Using Process Graphs
verfasst von : Balázs Polgár, Endre Selényi, Tamás Bartha
Erschienen in: Distributed and Parallel Systems
Verlag: Springer US
Enthalten in: Professional Book Archive
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This paper presents a novel approach to solving the probabilistic diagnosis problem in multiprocessor systems. The main idea of the algorithm is based on the reformulation of the error propagation model as a Process Network Synthesis (PNS) problem. This idea is illustrated by deriving a maximum likelihood decision procedure. The diagnostic accuracy of the solution is considered on the basis of simulation measurements, and a method of constructing a general framework for different aspects of a complex problem with the use of P-Graph models is demonstrated.