基于神经网络的导弹故障诊断方法研究

Study of Fault Diagnosis Method for Missile Based on Neural Network

针对传统方法在导弹故障诊断领域应用中的局限性,提出了将神经网络理论与专家系统技术相结合的混合方法用于导弹的故障诊断过程。介绍了BP神经网络推理模型,研究了基于神经网络的导弹故障智能诊断专家系统的结构及功能实现,并对某导弹系统进行了故障分析,给出了具体的诊断实例。将此方法应用于导弹武器系统故障诊断中,可提高诊断的智能性。

A hybrid method is proposed for the fault diagnosis using neural network and expert system.It can solve the limitation of traditional method.The neural network inference model is introduced briefly.The structure and functional are studied for intelligent diagnosis based on neural network.A missile system is analyzed and the diagnosis example is also provided.Test shows that this method can improve the intelligence of fault diagnosis in fault diagnosis of missile weapon system.