Algorithm based-on dynamic Bayesian networks for repairable GO methodology model

GO methodology was an effective method of evaluating the reliability and the security of complex systems. Besides the capability to describe the sequence characteristics of multi-states, GO methodology was also capable of expressing complex dynamic repair behavior of the systems. For GO methodology models whose systems containing the dynamic repairable characteristic, a new algorithm based on the Bayesian networks was presented. The algorithm firstly mapped the repairable and unrepairable operators into dynamic Bayesian networks, and then mapped the whole model into Bayesian networks software to solve the problem. With the support of the mature algorithm and software, this new algorithm is capable not only of figuring out the curves of reliability that is changed over time but also the reliability index on the determined time point without caring about the shared signals. This new algorithm based on the Bayesian networks theory is governed by unified simple rules and it is quite convenient to apply in engineering.