The Dynamic Fault Tree Analysis Method Based on Fuzzy Markov Process and Its Application

Abstract

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Traditional fault tree analysis is an effective method to analyze system reliability that is based on static logic, and the system which considering the influence in combination of fuzzy uncertainty and dynamic failure characters is still difficult to estimate precisely. The fuzzy number theor y can fully consider the fuzzy uncertainty of system which use various aspects information, and Markov process can describe the dynamic failure characteristics of the system through the change of state space, then the fuzzy number theory and Markov process is introduced into dynamic fault tree analysis to overcome the disadvantage of traditional fault tree. The method was applied to dynamic fault tree research of an internal combustion engine to prove the validity.