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FlightGear as a tool for real time fault-injection, detection and self-repair

机译：作为实时故障注射，检测和自修复的工具

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The development of fault-detection and self-healing methods at both a hardware and software level in modern aircraft is an attractive prospect. However it is expensive to design and test these techniques using real aircraft. This paper appraises the viability of using FlightGear, an open-source Flight Simulator, as a test-bed for these approaches. The paper characterises the realism of various aspects of a model of the Airbus A380. Interfaces are established to abstract critical control system routines from FlightGear. These functions are replicated in both software and hardware environments. The control data can then be subjected to fault-injection and the control modules modified to enable fault-detection and self-healing. By applying cluster analysis techniques to training sets of data, a fault-detection, diagnosis and self-healing model is designed to address these injected faults. FlightGear is found to provide highly realistic simulation of aircraft systems and instrumentation. Hardware-in-the-loop testing shows promise as an area for future work. The proposed fault-detection model is found to provide 96% accuracy.
机译：在现代飞机中的硬件和软件级别的故障检测和自我修复方法的开发是一个有吸引力的前景。然而，使用真正的飞机设计和测试这些技术是昂贵的。本文评估了使用飞机，开源飞行模拟器的可行性，作为这些方法的测试床。本文表征了空中客车A380模型的各个方面的现实主义。建立接口，从FlightGear摘要抽象关键控制系统例程。这些功能在软件和硬件环境中复制。然后可以对控制数据进行故障注入，并修改控制模块以实现故障检测和自修复。通过将聚类分析技术应用于训练数据集，故障检测，诊断和自修复模型旨在解决这些注入的故障。发现FlightGear提供了高度逼真的飞机系统和仪器模拟。硬件循环测试显示了作为未来工作的区域。发现所提出的故障检测模型提供96％的精度。

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