Towards an Integrated Vehicle Health Management for Maintenance of Unmanned Air Systems

Ann-Kathrin Koschlik, H. Meyer, Emy Arts, Philipp Conen, G. Jacob, Maria Soria-Gomez, A. Kamtsiuris, Lukas Jilke, Johanna Aigner, F. Raddatz, Gerko Wende
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Abstract

With rising numbers of Unmanned Aerial Systems (UASs) national and international authorities are currently negotiating the regulations for the operation of UASs. Even though UASs are smaller and less complex than manned aircraft, Maintenance, Repair and Overhaul (MRO) aspects are not yet sufficiently considered. In a step towards safer and more autonomous operations of UASs, we intend to develop an Integrated Vehicle Health Management (IVHM) for Condition- Based Maintenance. This highly integrated system aims at constantly monitoring the health status of the UAS and at supporting all involved stakeholders. A necessity to IVHM is a vast data gathering process at different points in time as well as at different locations. Multi-stakeholder Digital Twins can achieve this by collecting the necessary data and allowing all stakeholders to base their decisions on the most up-to-date status of their system. We conclude this paper by demonstrating a first prototype operation under realistic conditions.
面向无人机系统维护的集成飞行器健康管理
随着无人机系统(UASs)数量的增加,国家和国际当局目前正在就无人机的操作规则进行谈判。尽管无人机比有人驾驶飞机更小、更简单,但维护、修理和大修(MRO)方面尚未得到充分考虑。为了使无人驾驶汽车更安全、更自主地运行,我们打算开发一种基于状态维护的综合车辆健康管理(IVHM)。这个高度集成的系统旨在不断监测无人机系统的健康状况,并为所有相关利益相关者提供支持。IVHM必须在不同的时间点和不同的地点进行大量的数据收集过程。多方利益相关者数字孪生可以通过收集必要的数据并允许所有利益相关者根据其系统的最新状态做出决策来实现这一目标。我们通过在现实条件下演示第一个原型操作来结束本文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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