人工神经网络在飞机维修中的应用
Application of Artificial Neural Networks in Aircraft Maintenance, Repair and Overhaul Solutions
摘要：
综述了人工神经网络在飞机维修中的应用。MRO解决方案旨在为需要缩短飞机维修周转时间、优化机队维护效率和一致性并确保合规性的航线维护技术人员编写和交付维护和维修信息提供便利。飞机系统的技术复杂性，特别是航空电子设备，已经增加到了对MRO人员提出重大挑战的程度。根据现有的情况，现有的MRO系统效率低下。在本文中，我们提出了集中和集成的MRO数据库，以提高其效率。此外，人工神经网络在本系统中的实现，可以消除其许多不足之处。为了使系统更有效率，我们建议将所有的模块，以减少维修的功效。
英文摘要：
This paper reviews application of Artificial Neural Networks in Aircraft Maintenance, Repair and Overhaul (MRO). MRO solutions are designed to facilitate the authoring and delivery of maintenance and repair information to the line maintenance technicians who need to improve aircraft repair turn around time, optimize the efficiency and consistency of fleet maintenance and ensure regulatory compliance. The technical complexity of aircraft systems, especially in avionics, has increased to the point at which it poses a significant troubleshotting and repair challenge for MRO personnel. As per the existing scenario, the MRO systems in place are inefficient. In this paper, we propose the centralization and integration of the MRO database to increase its efficiency. Moreover the implementation of Artificial Neural Networks in this system can rid the system of many of its deficiencies. In order to make the system more efficient we propose to integrate all the modules so as to reduce the efficacy of repair.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
