基于模糊神经网络的雷达印制板故障智能诊断系统研究  

Research on the Fault Intelligent Diagnosis System of Radar Printed Plates Based on the Fuzzy Neural Network

作　　者：邹明虎[1] 王志云[1] 高福生 胡文华[1] 

机构地区：[1]军械工程学院光学与电工程系雷达工程教研室 [2]江西鹰潭73865部队

出　　处：《微计算机信息》2004年第12期12-13,26,共3页Control & Automation

摘　　要：以故障诊断理论和方法为基础,综合运用人工智能、模糊理论和神经网络理论,对雷达印制板故障智能诊断问题进行了研究,给出了模糊神经网络故障智能诊断系统的实现过程。仿真结果表明,该方法是一种行之有效的故障智能诊断方法。On the basis of fault diagnosis theory and method, this paper synthetically uses the artificial intelligence, fuzzy theory and neural network theory to study the fault intelligent diagnosis problem of Radar Printed Plates, and the fault intelligent diagnosis system of the fuzzy neural network is provided in detail.The simulation results show that this is an effective method of the fault intelligent diagnosis,and a new approach for the fault diagnosis of Radar Printed Plates t is provided.

关 键 词：模糊数学 神经网络 故障诊断 仿真 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]