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Usage Based Maintenance for Dynamic Components of Rotorcrafts

机译:基于使用情况的旋翼机动态组件维护

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Although HUMS technology has matured during the last decade, to date CBM has not yet been implemented on a large scale. This paper presents the approach of fatigue management of components and the motivation behind individually adapting the service life of a component to the true load spectrum, which is commonly referred to as Usage Based Maintenance (UBM). Since the actual mission profile is generally expected to be far less severe than the worst case profile, there is a potential to reduce operating costs, to increase operational availability and to reduce the maintenance burden. The paper proposes the UBM End-to-End process starting from Usage data acquisition until UBM credit application in terms of service life limit adjustment. New elements in the process and especially all possible sources of uncertainty will be discussed with focus on the prediction of the Remaining Useful Life (RUL) and the Regime Recognition (RR) system. Furthermore, the paper presents a novel hybrid RR system built up of three stages, which has been developed and validated on three different rotorcraft types. Finally, the RR system reliability is demonstrated on EC 135 flight load survey data and flight test data based from a flight test campaign performed in 2009.
机译:尽管HUMS技术在过去十年中已经成熟,但是迄今为止,尚未大规模实施CBM。本文介绍了组件的疲劳管理方法,以及为使组件的使用寿命分别适应真实载荷谱的动机,这通常称为基于使用情况的维护(UBM)。由于通常预期实际任务概况将比最坏情况情况严重得多,因此有可能降低运营成本,增加运营可用性并减轻维护负担。本文提出了从使用数据获取开始到UBM信用额度应用的UBM端到端流程,以调整使用寿命。将讨论过程中的新要素,尤其是不确定性的所有可能来源,重点是剩余使用寿命(RUL)和制度识别(RR)系统的预测。此外,本文提出了一种由三个阶段组成的新型混合式RR系统,该系统已在三种不同的旋翼飞机类型上进行了开发和验证。最后,根据2009年进行的一次飞行测试活动,在EC 135飞行负载调查数据和飞行测试数据上证明了RR系统的可靠性。

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