Analysis of event trees with dependent branches using bayesian networks

Seyed Mohammad Hadi Hosseini, Makoto Takahashi

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

Abstract

This paper presents a new approach for assessment of event trees with dependent branches using capabilities of Bayesian networks (BN) for dependability analysis. The problem is discussed for combining static and dynamic fault trees with event tree separately. After describing the procedure and generally comparing it with present methods, an application example is presented and capabilities of the new approach along with further required considerations are discussed.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Probabilistic Safety Assessment and Management, PSAM 2006
Publication statusPublished - 2006 Dec 1
Event8th International Conference on Probabilistic Safety Assessment and Management, PSAM 2006 - New Orleans, LA, United States
Duration: 2006 May 142006 May 18

Publication series

NameProceedings of the 8th International Conference on Probabilistic Safety Assessment and Management, PSAM 2006

Other

Other8th International Conference on Probabilistic Safety Assessment and Management, PSAM 2006
CountryUnited States
CityNew Orleans, LA
Period06/5/1406/5/18

ASJC Scopus subject areas

  • Statistics and Probability

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