Dynamic Maintenance Decision Model for Essential Equipment of Metro Based on Markov Chain

摘要

Maintenance of essential equipment is an important factor in ensuring the safety operation of urban rail transit. The traditional maintenance decision-making usually has irrational repairs schedule and excessive maintenance. In order to proffer solution to the problems associated with the traditional maintenance decision-making, the current maintenance mode of equipment were analysed. After critical analysis of the traditional maintenance decision-making, based on Markov chain a Dynamic maintenance decision model and scientific planning of the decision-making process was proposed. Furthermore, the components of the essential equipment of rail transit was also analysed. Through preventive maintenance interval and frequency, reliability and other factors, a Markov chain prediction model is established to predict the time interval for repairing the equipment. The validity of the model was proved by processing the actual maintenance data with MATLAB, which provides a reasonable basis for the dynamic maintenance decision-making of equipment.