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航空发动机单部件视情维修优化决策
引用本文:谢庆华,张琦,卢涌.航空发动机单部件视情维修优化决策[J].解放军理工大学学报,2005,6(6):575-578.
作者姓名:谢庆华  张琦  卢涌
作者单位:南京航空航天大学,民航学院,江苏,南京,210016;解放军理工大学,工程兵工程学院,江苏,南京,210007;解放军理工大学,工程兵工程学院,江苏,南京,210007;解放军理工大学,理学院,江苏,南京,211101
摘    要:基于航空发动机视情维修特点,对影响航空发动机部件维修的两个主要决策变量预防性维修阈值和检查间隔期进行分析。在分析某航空公司实际运行数据的基础上,以期望维修费用率最低为目标函数建立针对预防性维修阈值和检查间隔期的优化决策模型。通过用检查问隔期的幂函数表示Weibull分布的尺度参数的方法,实现在同一模型中同时对两个决策变量作综合优化决策。最后以CFM56发动机的HPT叶片为实例作了应用分析。结果表明,所建优化模型在保证发动机安全运行的前提下,使期望维修费用率最低。

关 键 词:航空发动机  单部件  视情维修  优化决策
文章编号:1009-3443(2005)06-0575-04
收稿时间:2005-10-26
修稿时间:2005年10月26

Optimizing on-condition maintenance decision-making of aero-engine single parts
XIE Qing-hu,ZHANG Qi and LU Yong.Optimizing on-condition maintenance decision-making of aero-engine single parts[J].Journal of PLA University of Science and Technology(Natural Science Edition),2005,6(6):575-578.
Authors:XIE Qing-hu  ZHANG Qi and LU Yong
Institution:Civil Aviation College,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;Engineering Institute of Corps of Engineers,PLA Univ.of Sci.& Tech.,Nanjing 210007,China;Engineering Institute of Corps of Engineers,PLA Univ.of Sci.& Tech.,Nanjing 210007,China;Institute of Sciences,PLA Univ.of Sci.& Tech.,Nanjing 211101,China
Abstract:Based on characters of the maintenance of aerospace engine,They were two factors key to the maintenance of single parts of aero-engine were analyzed. Threshold on preventative maintenance and maintenance interval.Based on the real data analysis from an airways,and an objective function of expected maintenance cost to be minimized,an optimization model on the above two factors was constructed.An integrative decision making rule was implemented to optimize two factors simultaneously by expressing the maintenance interval as an exponential function parameterizing Weibull's distribution function.Finally,the utility with HPT lamina of CFM56 engine as an example was demonstrated.The results show that our model has the lowest expected maintenance cost under the condition of safe operation of engine.
Keywords:aero-engine  single parts  on-condition maintenance  decision optimization
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