飞机飞行安全综合监控与支持系统设计

Comprehensive monitoring and support system design of airplane flight safety

针对飞机动态采集集成度高、时序模块故障波动无序,幅度大,伪周期性等难以实时故障诊断的问题,借助飞测试性验证综合平台为仿真平台,建立基于量子神经网络和趋势推演的自修正安全预警模型,设计了一种适应多机型的实时飞行安全监控系统,分别采用9种不同功能模式进行对比分析,仿真效果拟选用3种评价准则进行综合分析,仿真结果表明本文提出的飞行安全综合监控系统无论输出精度(误差均低于10%),还是预测效果的稳定性都优于市场民用FDMS系统。

Aimed at the problem of real-time fault diagnosis of the aircraft dynamic acquisition integration,timing module fault fluctuations,and the aid of flying testivity verification integrated platforms,based on quantum neural network and trend the self-correction safety warning model designed a real-time flight safety monitoring system that adapts to a multi-machine type,which uses nine different functional modes to compare analysis.Simulation effects are integrated with three evaluation criteria,and the simulation results show this article.Flight safety integrated monitoring systems regardless of output accuracy(less than 10%of the error),or the stability of the prediction effect is superior to the market civilian FDMS system.