飞机多疲劳结构动态成组维修决策优化方法  

Dynamic grouping maintenance planning for aircraft with multiple fatigue structures

作　　者：罗斌 林琳[1] 钟诗胜[1] LUO Bin;LIN Lin;ZHONG Shi-sheng(School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China)

机构地区：[1]哈尔滨工业大学机电工程学院

出　　处：《控制与决策》2019年第7期1365-1374,共10页Control and Decision

基　　金：国家自然科学基金项目(51775132)

摘　　要：以多个疲劳结构组成的飞机为对象,针对此类系统存在的维护困难、停机成本大等特点,研究多疲劳结构动态成组维修优化问题。在充分考虑结构停机维修用时以及多个疲劳结构之间维修相关性对于飞机使用率和维修费用的影响下,以维修费用和使用率为优化目标,以可靠度为约束,建立多疲劳结构动态成组维修决策优化模型。考虑飞机工作环境的严酷性和动态性,基于滚动时间轴模型,提出多疲劳结构动态成组维修决策优化方法。为了充分利用传感器获得的实时状态信息降低结构服役过程中损伤不确定性对维修计划制定的影响,并使维修计划能够适应复杂多变的动态环境,当每执行完一次停机维修活动或出现新的结构状态信息时,通过将维修决策时间窗口进行不断的滚动,使维修计划能够自适应地动态调整,达到无限规划周期的效果。This paper focuses on handling dynamic grouping maintenance planning problem for the aircraft with multiple fatigue structures, which has been widely studied due to expensive replacement of machinery as well as the high costs of downtime. A dynamic grouping maintenance planning optimization model concentrated on both minimizing the maintenance cost and maximizing the availability of the aircraft and constrained by the maintenance resource is established for the multiple fatigue structures through taking into consideration of the economic dependence among the structures. Then, in terms of the harsh and changing working condition, a dynamic grouping optimization method is further proposed based on the rolling-horizon model. The maintenance decision horizon is rolled and the maintenance plan is self-adaptive when new real-time status is available or the maintenance plan is executed, in order to minimize the affects caused by the uncertainty of structure damage.

关 键 词：飞机 疲劳结构 维修费用 使用率 维修决策 动态成组 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]