基于SOFM网络的雷达装备智能故障诊断  

Intelligent Fault Diagnosis of Radar Equipment Based on SOFM Network

作　　者：朱家元[1] 刘庆华[1] 刘根[1] 

机构地区：[1]空军雷达学院二系,武汉430019

出　　处：《空军雷达学院学报》2010年第3期167-169,共3页Journal of Air Force Radar Academy

摘　　要：针对雷达装备故障特征,采用自组织映射(SOFM)神经网络构建雷达装备故障诊断模型,通过网络学习,获得可视拓扑映射图,并采用映射图对典型雷达电子装备故障进行了诊断.结果表明:该故障诊断模型具有较高的诊断准确度,具有故障诊断可视化,为雷达装备故障诊断研究提供了新的有效方法.A sort of fault diagnosis model was constructed by using self-organizing feature map （SOFM） neural network in terms of radar equipment fault characteristics, visualized topology-ordering map obtained through network learning, and then the fault of typical radar electronic equipment was diagnosed in terms of the map. The results show that the diagnosis model is of higher diagnosis accuracy and visualization of fault diagnosis, which therefore, provides a new effective method for radar fault diagnosis.

关 键 词：神经网络 自组织特征映射 雷达装备 故障诊断 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TN95[自动化与计算机技术—控制科学与工程]