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Pubblication Details
Authors:Andrea Bobbio
Daniele Codetta Raiteri
Stefania Montani
Luigi Portinale
Scientific Area:Uncertain Reasoning
Probabilistic Graphical Models
Dependability and Reliability
Title:RADYBAN: a Tool for Reliability Analysis of Dynamic Fault Trees through Conversion into Dynamic Bayesian Networks.
Published on:RELIABILITY ENGINEERING AND SYSTEM SAFETY 93(7)
Publisher:Elsevier
Year:2008
Tipo Pubblicazione:Paper on International Journal
URL:http://dx.doi.org/10.1016/j.ress.2007.03.013
Abstract: In this paper, we present RADYBAN (Reliability Analysis with DYnamic BAyesian Networks), a software tool which allows to analyze a dynamic fault tree relying on its conversion into a dynamic Bayesian network. The tool implements a modular algorithm for automatically translating a dynamic fault tree into the corresponding dynamic Bayesian network and exploits classical algorithms for the inference on dynamic Bayesian networks, in order to compute reliability measures. After having described the basic features of the tool, we show how it operates on a real world example and we compare the unreliability results it generates with those returned by other methodologies, in order to verify the correctness and the consistency of the results obtained.