Algorithms for Complex Systems Reliability Analysis Based on Bayesian Network

Abstract

With the increase of complex systems functions, the number of its components will rise. This will lead to the amount of state combinations of components increasing exponentially. In order to solve this problem, a new compression algorithm and a new inference algorithm are developed to analyze the reliability of complex systems based on Bayesian Network in this paper. A satellite transmission system reliability is used to validate the proposed algorithms.