摘要
武器装备电气系统具有非线性特性,利用BP神经网络处理非线性特性的能力可以提高故障诊断效率.建立了BP神经网络的故障诊断模型,分析了故障特征提取与样本预处理的方法,并将其应用于武器装备电气系统的故障诊断中.该方法对于提高武器装备电气系统故障诊断的准确率具有良好的实际应用价值.
Weapon armament electrical system shows particularly nonlinear characteristic. In this pa- per, BP neural network＇s ability to deal with nonlinear is used to enhance the fault diagnosis efficien- cy. The fault diagnosis model of BP neural network is established. The method of fault feature extrac- ting and the processing of sample data are analyzed. And the method is applied in fault diagnosis of weapon armament electrical system. It is proved that the fault diagnosis method enhanced the weapon armament electrical system fault diagnosis accuracy.
出处
《武汉理工大学学报（交通科学与工程版）》
2013年第2期366-368,共3页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
关键词
BP神经网络
故障诊断
武器装备
电气系统
BP neural network
fault diagnosis
weapon armament
electrical system
