节点文献
采用多信号流图模型的雷达接收机故障诊断方法
Fault Diagnosis Method of Radar Receiver Using Multi-Signal Flow Graphs Model
【摘要】 介绍了多信号流图模型建模的基本方法。利用多信号流图模型建立了雷达接收机的故障诊断模型,得到了反映故障源和测试结果之间对应关系的故障依赖矩阵。在此基础之上结合故障源先验故障概率信息推导了一种计算故障源贝叶斯最大后验概率的算法。将该算法应用于某型雷达接收机故障诊断中,以故障后验概率最大为判断准则,实现了对雷达接收机系统的在线多故障实时诊断。
【Abstract】 The fault diagnosis model of radar receiver is built by applying multi-signal flow graphs. Based on the model the dependence matrix which relates faults and tests is generated and an algorithm calculating Bayes maximal posteriori probability of fault sources is derived. This algorithm is applied in fault diagnosis of radar receiver, and the real-time multi-fault locations are realized by using the maximal posteriori probability of fault sources as judging rule.
【关键词】 贝叶斯后验概率;
故障诊断;
多信号流图模型;
雷达接收机;
【Key words】 Bayes posteriori probability; fault diagnosis; multi-signal flow graphs model; radar receiver;
【Key words】 Bayes posteriori probability; fault diagnosis; multi-signal flow graphs model; radar receiver;
【基金】 国家自然科学基金(60673011)
- 【文献出处】 电子科技大学学报 ,Journal of University of Electronic Science and Technology of China , 编辑部邮箱 ,2009年01期
- 【分类号】TN957.5
- 【被引频次】26
- 【下载频次】393