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Modeling Dependable Systems using Hybrid Bayesian Networks

9 years 4 months ago
Modeling Dependable Systems using Hybrid Bayesian Networks
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are invariably hybrid and the need for efficient and accurate computation is paramount. We apply a new iterative algorithm that efficiently combines dynamic discretisation with robust propagation algorithms on junction tree structures to perform inference in hybrid BNs. We illustrate its use on two example dependability problems: reliability estimation and diagnosis of a faulty sensor in a temporal system. Dynamic discretisation can be used as an alternative to analytical or Monte Carlo methods with high precision and can be applied to a wide range of dependability problems.
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where IEEEARES
Authors Martin Neil, Manesh Tailor, Norman E. Fenton, David Marquez, Peter Hearty
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