现代雷达2018，Vol.40Issue(5)：84-89,6.DOI:10.16592/j.cnki.1004-7859.2018.05.019
基于贝叶斯网络的雷达故障远程诊断系统研究
A Study on Radar Fault Remote Diagnosis System Based on Bayesian Network
摘要
Abstract
In order to improve the ability of radar maintenance on the condition of high density aerospace launch mission,and shorten repair time,a radar fault remote diagnosis system based on Bayesian network is discussed.The hardware overall system architecture and the software function framework of the fault diagnosis system are designed.The acquisition and encryption transmission of fault data are introduced.The radar fault model is established by adopting Bayesian network,and the parameters of the fault model are confirmed through the expectation maximum algorithm,and the fault location reasoning is realized by adopting junction tree algorithm.Through the example of fault diagnosis,the result demonstrates that compared with the traditional fault diagnosis method,the fault diagnosis method based on Bayesian network can identify effectively the fault type,and have the advantages of fault location accuracy and less operation time,etc.关键词
雷达故障诊断/故障远程诊断系统/贝叶斯网络/联合树算法Key words
radar fault diagnosis/fault remote diagnosis system/Bayesian network/junction tree algorithm分类
信息技术与安全科学引用本文复制引用
张娜..基于贝叶斯网络的雷达故障远程诊断系统研究[J].现代雷达,2018,40(5):84-89,6.基金项目
四川省教育厅青年基金资助项目(11ZB115) （11ZB115）
