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Application of Artificial Neural Networks in Aircraft Maintenance, Repair and Overhaul Solutions

机译:人工神经网络在飞机维修中的应用,   维修和大修解决方案

摘要

This paper reviews application of Artificial Neural Networks in AircraftMaintenance, Repair and Overhaul (MRO). MRO solutions are designed tofacilitate the authoring and delivery of maintenance and repair information tothe line maintenance technicians who need to improve aircraft repair turnaround time, optimize the efficiency and consistency of fleet maintenance andensure regulatory compliance. The technical complexity of aircraft systems,especially in avionics, has increased to the point at which it poses asignificant troubleshotting and repair challenge for MRO personnel. As per theexisting scenario, the MRO systems in place are inefficient. In this paper, wepropose the centralization and integration of the MRO database to increase itsefficiency. Moreover the implementation of Artificial Neural Networks in thissystem can rid the system of many of its deficiencies. In order to make thesystem more efficient we propose to integrate all the modules so as to reducethe efficacy of repair.
机译:本文综述了人工神经网络在飞机维修,修理和大修(MRO)中的应用。 MRO解决方案旨在帮助维护和维修信息的创作和交付给需要缩短飞机维修周转时间,优化机队维护的效率和一致性并确保合规性的线维修技术人员。飞机系统的技术复杂性,尤其是在航空电子设备中,已经增加到对MRO人员造成重大故障排除和维修挑战的地步。按照现有方案,现有的MRO系统效率低下。本文提出了MRO数据库的集中化和集成化以提高其效率。此外,在该系统中实施人工神经网络可以消除该系统的许多缺陷。为了使系统更高效,我们建议将所有模块集成在一起,以降低维修效果。

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