基于概率神经网络的机载雷达伺服故障诊断  

Airborne Radar Servo Fault Diagnosis Based on Probabilistic Neural Network

作　　者：章学良 Zhang Xue-liang(The 14th Research Institute of China Electronics Technology Group Corporation,Jiangsu Nanjing 210039)

机构地区：[1]中国电子科技集团公司第十四研究所,江苏南京210039

出　　处：《电子质量》2022年第7期240-245,共6页Electronics Quality

摘　　要：伺服系统作为雷达重要组成部分,主要实现雷达天线阵面的随动控制,对于雷达装备效能发挥至关重要。为了提高机载雷达伺服故障诊断效率,该文提出了一种基于概率神经网络(PNN)的伺服系统故障诊断方法,通过对于雷达伺服系统特性分析明确了PNN故障诊断模型,并借助Matlab开发了故障诊断简易化工具,并进行了仿真分析,为雷达伺服系统故障诊断提供了有力参考。As an important part of radar, servo system mainly realizes the follow-up control of radar antenna,which is very important for the effectiveness of radar equipment. In order to improve the efficiency of airborne radar servo fault diagnosis, this paper presents a fault diagnosis method of servo system based on probabilistic neural network(PNN). Through the analysis of the characteristics of radar servo system, the PNN fault diagnosis model is defined, and a simplified tool for fault diagnosis is developed with the help of Matlab. The simulation analysis provides a powerful reference for the fault diagnosis of radar servo system.

关 键 词：雷达伺服系统 概率神经网络 故障诊断 仿真验证 

分 类 号：TN959.73[电子电信—信号与信息处理] TP183[电子电信—信息与通信工程]