基于CBR的雷达故障诊断专家系统研究  

Study on Radar Fault Diagnosis Expert System Based on CBR

作　　者：陈培彬[1] 陈治平[1] 于旭华[1] 郝延军[1] 

机构地区：[1]解放军炮兵学院一系,合肥230031

出　　处：《中国电子科学研究院学报》2008年第1期87-91,96,共6页Journal of China Academy of Electronics and Information Technology

摘　　要：以故障诊断的理论和方法为基础,综合运用神经网络、基于案例推理和专家系统理论,对雷达装备的故障诊断问题进行研究,形成一个集成的智能诊断专家系统。介绍了系统的总体结构和工作原理,并给出具体的诊断实例,此方法充分利用神经网络和CBR的优点,将提高雷达装备故障诊断的正确性和效率。In order to form an integrated intelligence diagnosis expert system, the paper studies the problem of radar equipment fault diagnosis. Based on the theory of neural network and CBR, it also describes radar diagram and working principles, meanwhile providing the concrete diagnosis example of the Radar. Then taking full advantage of NN and CBR, the diagnosis system can improve the accuracy and efficiency of radar equipment.

关 键 词：神经网络 基于案例推理 专家系统 故障诊断 

分 类 号：TN956[电子电信—信号与信息处理]