基于小波包分析的航空发动机故障诊断

航空发动机是一种复杂的旋转机械，故障种类多面且难以辨别。为了保定飞行安全，对航空发动机的故障进行正确、快速地检测，在分析航空发动机故障特征的基础上，利用发动机振动信号的时域指标判断发动机工作是否正常，再对存在故障的发动机振动信号进行小波包分解，作出频带能量图来进一步识别故障。按上述方法对某型涡轮风扇发动机在飞行中空中停车的振动信号作了分析，准确地识别出了故障。结果表明，小波包分解方法进行航空发动机故障诊断具有简单、直观的实际应用价值。

Aero-engine Faults Diagnosis Based on Wavelet Packet Analysis

It is difficult to identify various faults of Aero-engine.To make the common Aero-engine faults detection correctly and quickly,on basis of analyzing the Aero-engine fault characters,time domain indexes of engine vibration signals are used to judge the work of engine,then wavelet packets are used to transform the Aero-engine vibration signals which have failure in frequency domain and make frequency band energy diagram to identify faults.According to this method,the ibration signal of one turbofan in-flight...