小波网络在某型航空发动机故障诊断中的应用

Application of the wavelet network in fault diagnosis for some kind of aero-engine

分析了用小波网络替代神经网络进行模型辨识的优点,在误差反向传播算法(Error back prop-agation)的基础上,结合小波分析理论,设计了一种小波网络算法.通过对某型航空发动机的仿真实验,小波网络能够及时准确地预测出发动机的输出.同时利用小波变换对残差的分析可以有效地检测出系统所发生的故障.

Advantages of wavelet network in model identification were analyzed.By combining wavelet analysis theory,a wavelet network algorithm was designed based on error back propagation algorithm.Through simulation test for a kind of aero-engine,wavelet can predict the output of engine accurately and in time,meanwhile the engine fault can be detected through error analysis by wavelet transform.