Application of Monte Carlo simulation in Markov process for reliability analysis

In this paper, a new approach for the reliability modeling of large system which has multistate components is presented. The Monte Carlo simulation approach is introduced in this paper can facilitate a Markov process, and also provides frequency and duration of each state of the process. Large system with several components which have Markovian process can be analyzed using the proposed methodology. Two numerical examples are presented, and the results show that the new method can facilitate reliability modeling of large system. An application of this approach is introduced in the reliability modeling of wind power.