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ESTIMATION OF DAILY UNSCHEDULED LINE MAINTENANCE EVENTS IN CIVIL AVIATION

机译:民航中日常出生的线维修事件估算

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Reducing maintenance cost in today's aviation industry is a necessary step to participate in a market under excessive cost pressure. Airlines as well as maintenance, repair and overhaul companies have to cut costs wherever possible. An improved MH planning for unscheduled maintenance events could help avoiding expensive overcapacities in certain time slots. A statistical model expressing the occurrence of failures as a stochastic process is developed. Unscheduled maintenance events of a homogeneous modern fleet are analysed to determine representative failure rates for each aircraft system. The model allows daily MH demand estimates for small aircraft fleets of 15 or 20 aicraft with accuracy of around 75 %.
机译:降低当今航空业的维护成本是在过度成本压力下参与市场的必要步骤。航空公司以及维护,维修和大修公司必须尽可能削减成本。改进的MH规划不定期维护事件可以帮助避免在某些时隙中避免昂贵的过空程。开发了一种表达作为随机过程的故障发生的统计模型。分析了均匀现代舰队的未安排维护事件,以确定每个飞机系统的代表性故障率。该模型允许每日MH要求估计15或20 Aicraft的小型飞机车队,精度约为75%。

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