| 采用多信号流图模型的雷达接收机故障诊断方法 |
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| 引用本文： | 陈世杰,连可,王厚军. 采用多信号流图模型的雷达接收机故障诊断方法[J]. 电子科技大学学报(自然科学版), 2009, 38(1): 87-91 |
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| 作者姓名： | 陈世杰 连可 王厚军 |
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| 作者单位： | 电子科技大学自动化工程学院,成都,610054;电子科技大学自动化工程学院,成都,610054;电子科技大学自动化工程学院,成都,610054 |
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| 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。
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| 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 |
| 收稿时间： | 2008-05-31 |
Fault Diagnosis Method of Radar Receiver Using Multi-Signal Flow Graphs Model |
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| CHEN Shi-jie,LIAN Ke,WANG Hou-jun. Fault Diagnosis Method of Radar Receiver Using Multi-Signal Flow Graphs Model[J]. Journal of University of Electronic Science and Technology of China, 2009, 38(1): 87-91 |
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| Authors: | CHEN Shi-jie LIAN Ke WANG Hou-jun |
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| Affiliation: | 1.School of Automation Engineering,University of Electronic Science and Technology of China Chengdu 610054 |
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| 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. |
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