一种民航发动机传感器非线性故障诊断方法

A nonlinear fault diagnosis method for sensor of civil aircraft engine

针对民航发动机传感器非线性故障,研究基于小波变换与RBF神经网络结合的故障诊断方法。通过小波变换对数据样本加以特征提取,根据非线性故障模型,以训练后的RBF神经网络实施分类。通过实验于Matlab中进行系统测试,结论证实此方法可以实现故障诊断要求,取得了较好效果。

In allusion to the nonlinear fault for the sensor of the civil aircraft engine,a fault diagnosis method based on the combination of the wavelet transform and RBF neural network is studied.The wavelet transform is adopted to extract features of data samples.The trained RBF neural network is adopted to do classification according to the nonlinear fault model.A system testing experiment using the Matlab was carried out.The results show that this method can meet the fault diagnosis requirement and obtain a good result.