Reliability evaluation of steering system using dynamic fault tree

This paper addresses a dynamic fault tree analysis (DFTA) to predict the reliability of a steering system. Reliability evaluation is a vital task to prevent any potential failure in a system by identifying vulnerable parts of the system and managing them effectively. Safety-critical systems, such as electric vehicles, have many components whose failure may cause a catastrophic accident. The steering system in a vehicle is one of the most critical subsystems requiring a high level of reliability. In this paper, a DFTA method using the Simpson's rule is proposed to evaluate the reliability of a steering system. A set of simulation results shows that the proposed method can overcome the problem of low accuracy with the existing approximation method while requiring no excessive calculation time of the Markov chain method.