A tool for automatically translating dynamic fault trees into dynamic Bayesian networks

被引：0

作者：

Montani, S. ^{[1
]}

Portinale, L. ^{[1
]}

Bobbio, A. ^{[1
]}

Varesio, M. ^{[1
]}

Codetta-Raiteri, D. ^{[2
]}

机构：

[1] Univ Piemonte Orientale, Dipartimento Informat, Via Bellini 25-G, I-15100 Alessandria, Italy

[2] Univ Turin, Dept Informat, Turin, Italy

来源：

2006 PROCEEDINGS - ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, VOLS 1 AND 2 | 2006年

关键词：

dynamic fault trees; dynamic Bayesian networks;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The unreliability evaluation of a system including dependencies involving the state of components or the failure events, can be performed by modelling the system as a Dynamic Fault Tree (DFT). The combinatorial technique used to solve standard Fault Trees is not suitable for the analysis of a DFT. The conversion into a Dynamic Bayesian Network (DBN) is a way to analyze a DFT. This paper presents a software tool allowing the automatic analysis of a DFT exploiting its conversion to a DBN. First, the architecture of the tool is described, together with the rules implemented in the tool, to convert dynamic gates in DBNs. Then, the tool is tested on a case of system: its DFT model and the corresponding DBN are provided and analyzed by means of the tool. The obtained unreliability results are compared with those returned by other tools, in order to verify their correctness. Moreover, the use of DBNs allows to compute further results on the model, such as diagnostic and sensitivity indices.

引用

页码：434 / +

页数：3

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