A Bayesian Network Approach for Identification of Critical Components of a System
Michael E. Bensi, Armen Der Kiureghian · 2011
Bayesian networks (BNs) have characteristics and capabilities that make them useful for assessing and responding to risk due to natural and man-made hazards posed to infrastructure systems. In this paper, we emphasize the use of the max-propagation algorithm of the BN for identifying critical components in a system subject to an arbitrary hazard. The paper begins with a brief introduction to BNs. This is followed by brief descriptions of inference and max-propagation in a BN, and use of the latter for identifying critical components. Limitations of the methodology are discussed. Two simple examples demonstrate the use of the proposed algorithm.