摘要
计划维修任务间隔是反映飞机可靠性和经济性的重要指标,而飞机服役后维修及故障数据的累积对维修间隔调整提供依据。通过梳理飞机维修任务间隔优化的流程,确定数据抽样样本量的方法;给出基于数据拟合的故障趋势分析方法对间隔优化的必要性进行判断;定义维修间隔优化的假设检验准则,对提出的优化方法进行算例验证。结果表明:本文的方法能够对新维修任务间隔的可行性进行判断,指导维修大纲的更新。
Schedule maintenance task interval is a key index representing the reliability and economy of aircraft,and the accumulation of maintenance and fault data after aircraft service provides the basis for the adjustment of maintenance task interval.The method for data sampling size is determined by analyzing the optimization process of aircraft maintenance task interval.The failure trend analysis method based on data fitting is given to judge the necessity of interval optimization method.The hypothesis test criteria of maintenance interval optimization is defined.The proposed optimization method is verified with instance.The results show that the method can judge the feasibility of new maintenance task interval,and guide the update of maintenance review board report(MRBR).
作者
林聪
蒋庆喜
周扬
LIN Cong;JIANG Qingxi;ZHOU Yang(Department of Equipment Service,China Aero-Polytechnology Establishment,Beijing 100028,China)
出处
《航空工程进展》
CSCD
2020年第4期572-576,584,共6页
Advances in Aeronautical Science and Engineering
基金
国家自然科学基金(71801198)
装备综合保障技术重点实验室稳定支持项目(61420030301)。
关键词
计划维修任务
维修间隔优化
假设检验
schedule maintenance task
maintenance interval optimization
hypothesis test
