论文部分内容阅读
根据机载设备故障诊断的需求,结合飞机性能监控系统的结构框架和机载设备的特点,提出基于快速存取记录器(QAR)记录的飞行数据和滑窗检测原理的机载设备故障诊断算法,并实现相应的机载设备故障诊断仿真系统。在简述QAR数据译码与数据选择方法的基础上,论述了滑窗检测的原理并对其性能进行分析;设计实现了基于QAR的机载设备故障诊断仿真系统并给出仿真结果。结果表明,该系统可以有效诊断存在的故障,并能大大降低虚警概率,对保障飞行安全具有重要意义。
According to the requirements of airborne equipment fault diagnosis, combined with the structural framework of aircraft performance monitoring system and the characteristics of airborne equipment, an airborne equipment fault diagnosis algorithm based on QAR record flight data and sliding window detection principle , And to achieve the corresponding airborne equipment fault diagnosis simulation system. On the basis of a brief description of QAR data decoding and data selection methods, the principle of sliding window detection is discussed and its performance is analyzed. A QAR-based airborne equipment fault diagnosis simulation system is designed and the simulation results are given. The results show that the system can effectively diagnose the existing faults and greatly reduce the false alarm probability, which is of great significance to the flight safety.