摘要
在民机维修规划中,针对系统部件维修间隔优化的问题,考虑可靠性影响及经济性因素,确定飞机系统部件最优维修间隔.提出运用改进的三参数威布尔极大似然估计法,求解部件可靠性数据的分布参数,获得维修项目在不同故障影响类型下的可靠寿命方程,并建立了可靠寿命区间约束下的维修费用率优化模型,运用遗传算法进行求解,制定出最优维修间隔期.通过实例分析,对比部件维修技术报告参考值,验证了本方法的可行性,为合理制定维修计划提供了理论依据.
In terms of the problem of optimizing the maintenance interval of system components in civil aircraft maintenance planning,the paper focuses on determining the optimal maintenance interval of aircraft system components according to reliable effects and economic factors.The improved three-parameter Weibull maximum likelihood estimation method is proposed to identify the distribution parameters of component reliability data.The reliability life equation of maintenance items under different fault influence types is obtained,and the optimization model for maintenance cost rate under the constraint of reliable life span is established.Genetic algorithm is used to solve the function model and identify the optimal maintenance interval.By comparing the reference value of component maintenance technical report with practical case analysis result,the feasibility of this method is verified,which provides a theoretical reference to design a reasonable maintenance plan.
作者
李景奎
蔺瑞管
段飞飞
王俊辉
LI Jingkui;LIN Ruiguan;DUAN Feifei;WANG Junhui(Civil Aviation Academy,Shenyang Aerospace University,Shenyang 110136,China;Shenyang Maintenance Base,China Southern Airlines,Shenyang 110136,China)
出处
《中国工程机械学报》
北大核心
2019年第1期90-96,共7页
Chinese Journal of Construction Machinery
基金
辽宁省自然科学基金资助项目(201602560)
辽宁省教育厅基金资助项目(L201606)
关键词
可靠性
经济性
三参数威布尔
遗传算法
最优维修间隔
reliability
economy
there parameter Weibull distribution
genetic algorithm
optimal maintenance interval
