First International Conference on Availability, Reliability and Security (ARES'06) (2006)
Apr. 20, 2006 to Apr. 22, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ARES.2006.83
Martin Neil , Agena Ltd
Manesh Tailor , Agena Ltd
Norman Fenton , Agena Ltd
David Marquez , University of London
Peter Hearty , University of London
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.
D. Marquez, M. Tailor, M. Neil, P. Hearty and N. Fenton, "Modeling Dependable Systems using Hybrid Bayesian Networks," First International Conference on Availability, Reliability and Security (ARES'06)(ARES), Vienna, Austria, 2006, pp. 817-823.