An effective hybrid method for analysis the large-scale reliability block diagram model

The reliability block diagram (RBD) is a graphical tool used for modeling and analysis in various industries, including shipbuilding, aviation, aerospace. Typically, RBDs are transformed into Bayesian networks quantitative of systems. probabilistic models that can capture the uncertainties causal relationships complex They provide metrics such as failure probability, mean time to failure, availability, etc. However, these techniques have several drawbacks, especially large-scale models, being extremely memory-consuming. To address issues, we propose hybrid method based on structure identification approach binary decision diagrams. Theoretical case verification demonstrate proposed significantly more efficient than current one.