【摘要】 起落架不能正常收放严重威胁飞行安全,迫切需要掌握其健康状态以便提前预防故障发生。以典型支线客机的起落架收放系统为研究对象,探索了对不同故障模式下的健康程度进行评估的方法。利用AMESim软件建立了该系统的仿真模型,研究液压回路中元件参数性能变化对系统工作性能的影响。选取系统输出参数,提取故障特征,利用神经网络算法实现了系统的健康评估。结论表明该方法是可行的,为新一代飞机起落架液压收放系统的健康评估提供了思路。更多还原

【Abstract】 Abnormal landing gear retraction / extension( R / E) will make the aircraft unable to land and endanger the flight safety. It is necessary to prevent the failure and avoid the accident by knowing its health condition. A multiple failure modes based health evaluation of aircraft landing gear hydraulic R / E system is developed. For typical regional aircraft,a simulation model of this system is built by AMESim software. The effects of degradation of different component parameters in the hydraulic loop are calculated and fault characteristics are extracted. Health evaluation is performed through neural network algorithm. Simulation and calculation results show that the fault characteristics are reasonable and this method is feasible,which provide a way for health evaluation of new generation aircraft landing gear hydraulic R / E system.更多还原