Reliability evaluation using fault trees based on Monte Carlo simulation

Fault tree which is an efficient model for reliability evaluation can be analyzed in two ways: analytical and simulation. However there are some restrictions in using of analytical methods. Examples of such restrictions are model dependency and necessity for model simplifying. To avoid these restrictions simulation methods such as Monte Carlo simulation are widely used The main advantage of Monte Carlo simulation is its high flexibility for system modeling and evaluating. Therefore, we designed and implemented a tool whose operation is based on Monte Carlo simulation and fault tree minimal Cutsets. In this work we try to expand Cutset algorithms, which already used in static fault trees for use in dynamic ones.