Combining static/dynamic fault trees and event trees using Bayesian networks

S. M. Hadi Hosseini, Makoto Takahashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

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 result.

Original languageEnglish
Title of host publicationComputer Safety, Reliability, and Security - 26th International Conference, SAFECOMP 2007, Proceedings
Pages93-99
Number of pages7
Publication statusPublished - 2007 Dec 1
Event26th International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2007 - Nuremberg, Germany
Duration: 2007 Sep 182007 Sep 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4680 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other26th International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2007
CountryGermany
CityNuremberg
Period07/9/1807/9/21

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Hadi Hosseini, S. M., & Takahashi, M. (2007). Combining static/dynamic fault trees and event trees using Bayesian networks. In Computer Safety, Reliability, and Security - 26th International Conference, SAFECOMP 2007, Proceedings (pp. 93-99). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4680 LNCS).