关键词: 剩余寿命, 长期平均费用率, 预防性维护维修, 优化

Abstract: Aiming at the inestimable complicate system of degradation distribution function,the optimal decision for remaining useful life prediction and preventive maintenance was proposed,and a preventive maintenance strategy was presented based on effective prediction of remaining life for complex system.Under the conditions of unknown degradation distribution function,the average remaining useful life of the known life distribution function was forecasted as the threshold to draft preventive maintenance strategies.According to the theory of renewal process,an optimization model with the system prediction interval and the threshold of preventive maintenance as the optimization variables and the minimum average maintenance cost as the target function was established.By using Particle Swarm Optimization (PSO),the optimal preventive cycle and maintenance threshold of system were obtained,and the long-run average cost rate was the lowest.The civil aeroengine operation of Weibull distribution and the transformer of electromagnet control gyrocompass in the navigation equipment of Normal distribution were taken as examples to verify the feasibility of proposed strategy.

Key words: remaining useful life, long-run average cost rate, preventive maintenance, optimization