机会维修策略下的民机系统维修决策优化模型  

Maintenance Decision Optimization Model of Civil Aircraft System under Opportunistic Maintenance

作　　者：李耀华[1] 魏启东 孙世磊 LI Yaohua;WEI Qidong;SUN Shilei(College of Aeronautical Engineering,Civil Aviation University of China,Tianjin 300300)

机构地区：[1]中国民航大学航空工程学院,天津300300

出　　处：《机械科学与技术》2021年第5期808-815,共8页Mechanical Science and Technology for Aerospace Engineering

基　　金：民航科技引领重大专项(MHRD20160105)。

摘　　要：以系统单位时间费用率和可用度为目标,构建了民机多部件系统不完全预防性维修多目标优化模型。引入机会维修思想,以部件机会维修可靠度阈值作为模型优化变量,将各部件维修方式按照时间相关性和结构相关性进行优化组合。模型采用改进后的自适应变异粒子群算法(Adaptive mutation particle swarm optimization,AM-PSO)求解Pareto最优解集。利用民机某型发动机反推控制和指示系统实际维修数据进行模型验证与分析,结果表明:在有限运行周期内运用本文的多目标优化模型与方法进行预防性维修活动,能有效降低系统维修成本的同时提高其可用度。The research on the maintenance strategy optimization of civil aircraft multi-component series system has important practical significance at this stage.A multi-objective optimization model for incomplete preventive maintenance of civil aircraft multi-component systems was constructed with the system unit time cost rate and availability as the goals.Introducing the opportunistic maintenance strategy,the component opportunistic maintenance reliability threshold is used as a model optimization variable,and the component maintenance methods are optimized and combined according to time correlation and structure correlation.The method employs an improved adaptive mutation particle swarm optimization(AM-PSO)to solve the Pareto optimal solution set.Using the actual maintenance data of an engine′s back-thrusting control and instruction system for civil aircraft for model verification and analysis,the results show that the multi-objective optimization model and method of this paper can effectively reduce system maintenance costs for preventive maintenance activities in a limited operating cycle,and meanwhile can increase availability of civil aircraft.

关 键 词：机会维修 维修成本 可用度 AM-PSO 

分 类 号：V267[航空宇航科学与技术—航空宇航制造工程]