基于服役数据的飞机计划维修任务间隔优化方法

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 optimization method based on in-service data

Schedule maintenance task interval is a key index representing the reliability and economy of an aircraft. Since the initial maintenance interval approved in Maintenance Review Board Report (MRBR), obtained by MSG-3 analysis method, is relatively conservative, it is significant to optimize the maintenance interval based on in-service data. This paper studied the work flow of the maintenance interval optimization. First, we give the equation to determine the sample size which must be satisfied to initiate the process. Then, we provide a failure trend fitting method which helps us to decide if it is necessary to do the job. Finally, we illustrate the hypothesis test criteria which tells us whether the new targeted interval should be accepted or rejected. The result shows that the proposed method can be used to determine if the new desired maintenance interval for a specific task can be accepted, which further leads the update of the MRBR.