基于状态维修的预防性维修策略优化模型研究

基于状态的维修着眼于系统的具体运行状况,对被监测装备的真实状态进行评估,克服了维修的盲目性,可有效减少由于维修不足而引起的意外故障和由于维修过剩带来的资源浪费。提出一种基于状态的多部件系统非周期预防性维修计划的优化方法,引入"机会维修阈值"概念,优化不同维修方式转移概率的表达式,将多个维修作业按照机会维修阈值进行归并,运用马尔可夫决策过程理论,给出不同维修方式转移概率的表达式和目标函数,并进行算例分析。结果表明:提出的优化模型减少了预防性维修活动,节约了维修工时和经费,可为系统预防性维修策略决策提供参考。

Optimal Preventive Maintenance Policy Model based on Condition-based Maintenance

Condition-based maintenance (CBM) focuses on specific system operation condition to evaluate the real status of monitored equipment. CBM overcomes the blindness of maintenance, and is able to effectively reduce accidental failures caused by insufficient maintenance and waste of resources by the excess. This paper proposes a multi-unit system non-periodic preventive maintenance plan optimization method which is based on state. The concept of "opportunity maintenance threshold" is introduced, and the expression of different maintenance mode transition probability is optimized. We combine multiple maintenance work in accordance with the opportunity maintenance threshold and propose the expression of different maintenance mode transition probability and the objective function on the basis of Markov Decision Process Theory. Through the example analysis, the proposed optimization model can decrease the preventive maintenance activities, save maintenance time and funds, and provide reference for system preventive maintenance strategy decision.