A Study of Reliability Algorithm for Repairable Control System Based on Markov Process

Markov process analysis is a dynamic modeling approach, which considers that when the current state of the system is known, the transformation development of a future state is independent of its past state. The Markov process is used to model the system and the Laplace transform is used to solve the reliability indexes such as availability and reliability of the system, the Markov model can clearly represent the transformation relationship between the system states, which can fully characterize the operational capability of the system, which is of theoretical and practical significance for the reliability analysis and calculation of repairable control systems widely existed in engineering.