Reliability analysis of station autonomous computer system based on fuzzy dynamic fault tree and Markov model

Station autonomous computer system is the core of centralized traffic control (CTC) system. The working mode dual hot standby, and its reliability very important. Due to dynamic fuzzy issue with analysis station system, a method formulated based on fault tree (DFT) Markov model. First, structure principle standby double 2-vote-2 are analyzed, two systems DFT formulated. Then, failure rates detection probabilities considered as variables represented triangular variables. state transition matrix obtained by conversion Finally, calculated Laplace transform. Simulation results show that higher than Besides, hardware not only related but also affected uncertain unit rate, probabilities, so on.