Conference Paper

Combining Static/Dynamic Fault Trees and Event Trees Using Bayesian Networks

DOI: 10.1007/978-3-540-75101-4_10 Conference: Computer Safety, Reliability, and Security, 26th International Conference, SAFECOMP 2007, Nuremberg, Germany, September 18-21, 2007.
Source: DBLP


In this study, an alternative approach for combining Fault Trees (FT) and Event Trees (ET) using capabilities of Bayesian
networks (BN) for dependency analysis is proposed. We focused on treating implicit and explicit weak s-dependencies that may
exist among different static/dynamic FTs related to an ET. In case of combining implicit s-dependent static FTs and ET that
combinatorial approaches fail to get the exact result, the proposed approach is accurate and more efficient than using Markov
Chain (MC) based approaches. In case of combining implicit weak s-dependent dynamic FTs and ET where the effect of implicit
s-dependencies have to be manually inserted into the MC, the proposed approach is more efficient for getting an acceptable

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