基于BP神经网络的航空发动机气路故障诊断研究

Research on Fault Diagnosis for Aeroengine Gas Path Based on BP Neural Network

将BP神经网络应用在PW4000航空发动机气路故障诊断里面,建立相应的故障诊断系统,然后借助MATLAB对有关发动机气路故障数据进行训练,通过仿真得出诊断结果,以此验证该种诊断方法具备速度快、误差率低等优点。

BP neural network is applied to fault diagnosis for PW4000 aeroengine gas path,and the corresponding fault diagnosis system is established.Then,with the help of MATLAB,the relevant engine gas path fault data are trained,and the diagnosis results are obtained through simulation,so as to verify that this diagnosis method has the advantages of fast speed and low error rate.