模糊免疫算法及其在模拟电路故障诊断中的应用  

Application of Fuzzy-immune Algorithm in Fault Diagnosis for Analog Circuits

作　　者：刘文业[1] 何怡刚[1] 尹耕钦[2] 杜社会[1] 方葛丰[1] 阳辉[1] 刘美容[1] 

机构地区：[1]湖南大学电气与信息工程学院,湖南长沙410082 [2]怀化职业技术学院,湖南怀化418000

出　　处：《计算机测量与控制》2008年第8期1070-1073,共4页Computer Measurement &Control

基　　金：国家自然科学基金项目(50677014);教育部高等学校博士学科点专项基金项目(20060532002);湖南省科技计划重点项目(04FJ2003);863计划项目(20060104A1127);教育部新世纪优秀人才支持计划项目(NCET-04-0767)

摘　　要：对模糊免疫算法应用于模拟电路故障诊断进行了研究;首先简要介绍了免疫系统的工作机理及一些基本概念,然后在此基础上构建出一种模糊免疫算法,并将免疫算法和模糊聚类法结合起来进行故障诊断;人工免疫算法起到学习样本的作用,以寻找到各样本组的聚类中心;而模糊聚类算法则准确地完成对样本的分类任务;仿真实例表明:立足于模拟电路故障诊断字典法,该算法对模拟电路故障诊断非常有效。A new method of fault diagnosis for analog circuits based on fuzzy--immune algorithm is proposed. At first, the operational principles of immune system and its basic conception are briefly introduced. Next an hybrid algorithm combining fuzzy clustering algorithm and immune algorithm is proposed and used for fault diagnosis of analog circuits. For the presented fault diagnosis approach, immune algorithm has been modified, its action is to find the center of training samples. Fuzzy clustering algorithm is used to classify the faults samples correctly. Finally , an example for the fault diagnosis of analog circuits using fault dictionary was shown and the simulation results indicated the validity of the proposed algorithm.

关 键 词：模糊 免疫系统 免疫算法 模拟电路 故障诊断 

分 类 号：TP306.3[自动化与计算机技术—计算机系统结构]