摘要
为解决模拟电路中故障诊断信息不充分的问题,挖掘深层故障诊断信息,提出了一种模拟电路故障传播特性的分析方法。以国际标准测试电路作为实例,采用云理论相关方法提取故障样本特征并扩展故障样本集,构建电路故障传播特性的复杂网络模型,并得出所建模型的度分布曲线以及聚类系数和平均路径长度等统计参数;最后引入势函数,获得了故障传播网络的数据势场分布图,证明了该方法在刻画故障传播情形的准确性和提供深层诊断知识上的有效性。
To solve the problem of information insufficiency in the analog circuit fault diagnosis and mine deep diagnosis knowledge,the analytical method for analog circuit fault propagation characteristics are proposed in detail. Taken the international standards circuit under test as an example,based on cloud theory,the fault sample set and numerical characteristics are obtained,the complex network model of fault propagation is established. The degree of distribution curve is described,clustering coefficient and average path length and other statistical parameters in the model are calculated. And finally,the potential function is introduced,the distribution of data potential filed is acquired,and the method proved to be accurate in characterizing the fault propagation situation and effi-cient in providing the deep diagnosis knowledge.
出处
《微计算机信息》
2010年第31期62-64,共3页
Control & Automation
基金
基金申请人:彭敏放
项目名称:结合故障传播特性分析的模拟VLSI电路混合诊断方法
基金颁发部门:国家自然科学基金委(60973032)
基金申请人:彭敏放
项目名称:基于多元信息智能融合的模拟电路在线故障诊断研究
基金颁发部门:国家自然科学基金委(60673084)
关键词
模拟电路
故障传播
云模型
数据场
复杂网络
Analog circuit
Fault propagation
Cloud model
Data field
Complex network
