基于神经网络的导弹故障智能诊断专家系统

首先简要介绍了BP神经网络学习算法,然后在搜集专家经验和专业知识的基础上,提出了导弹故障智能诊断方法,分析了诊断参数的选取方法、知识库的建立过程及神经网络模块结构图.最后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,并对某导弹发射控制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.

Expert System Based on Artificial Neural Network in Fault Intelligent Diagnosis for Missile

Firstly, the learning algorithm of BP neural network is introduced briefly. Secondly, on the basis of searching expert experience and professional knowledge, the method of fault intelligent diagnosis is presented, the select method of dianosis parameter, the set up process of knowledge database and the module charts of neural network are analyzed. Finally, the structure and functional realization of fault intelligent diagnosis based on neural network are studied. A launch control system of missile is analysed and the concrete diagnosis example is also provided. Experiment shows that using this method in fault diagnosis of missile weapon system can improve the intelligence of fault diagnosis