复杂模拟电路知识表示的关键技术研究  

Research on Key Technology of Complex Analog Circuit Knowledge Representation

作　　者：陈冰[1] 鲁刚 冯建呈[3] 王宏伟[3] 

机构地区：[1]海军工程大学电子工程学院,武汉430033 [2]海军装备部,北京100055 [3]北京航天测控技术有限公司,北京100041

出　　处：《计算机测量与控制》2014年第7期2049-2051,共3页Computer Measurement &Control

基　　金：国家部委基金资助项目(A0420110301)

摘　　要：在装备中应用复杂模拟和数模混合电路,可大幅度提升装备性能,但同时对电路故障诊断提出了更高的要求;研究故障特征优选、测试节点优化等关键技术,实现了最优测试点集构造和基于故障特征提取的知识表示自动生成功能,可有效解决当前模拟和数模电路故障诊断存在的问题,提高故障诊断效率;采用典型装备电路的试验验证,实现了多类型知识表示的生成,并且所构造最优测试点集数量为全部测试点的32%,试验表明,所述技术具有很好的实用与推广价值。Application of complex analog and mixed signal circuit can greatly improve the equipment performance, but at the same time puts forward higher.requirements for circuit fault diagnosis. To effectively improve the efficiency of fault diagnosis and solve the existing analog and mixed signal circuit fauh diagnosis problems, we made scientific researches on the key technology such as fault feature selection, test node optimization, to implement construction of optimal test point set and automatic generation of knowledge representation based on fault feature extraction. According to the results of verification test based on typical equipment circuits, gets knowledge representation automatically and reduces the test points to 32% of total. The verification test indicates that the technique presented in this paper has good practicability and popularization value.

关 键 词：故障仿真 特征提取 最优测试点集 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]