模糊免疫算法在电路故障诊断中的应用研究  

Application of Fuzzy Immune Algorithm in Fault Diagnosis for Cir cuits

作　　者：田玉玲[1] 任正坤[1] 

机构地区：[1]太原理工大学计算机科学与技术学院,太原030024

出　　处：《太原理工大学学报》2012年第3期353-357,共5页Journal of Taiyuan University of Technology

基　　金：山西省自然科学基金资助项目(2006011031)

摘　　要：针对传统免疫算法在故障检测中存在的稳定性低、检测性能差等问题,基于模糊数学和生物免疫系统的信息处理的机理,提出一种基于模糊数学策略的免疫算法。介绍了模糊免疫算法的实现过程,并将其应用到模拟电路的故障诊断之中。仿真和实验实例表明,该算法适合于模拟电路故障诊断,有效抑制了误报率,检测率也得以提高。For the low stability the poor detection performance of traditional immune algorithm in the fault detection,immune algorithm based on fuzzy mathematical strategy was proposed based on the information processing mechanism of fuzzy mathematics and the biological immune system.The fuzzy immune algorithm was described and it＇s applied in fault diagnosis of analog circuits.Simulation and experimental examples show that the algorithm was suitable for analog circuit fault diagnosis,effectively inhibit the false alarm rate,detection rate was also improved.

关 键 词：人工免疫系统 模糊免疫 故障诊断 模拟电路 

分 类 号：TP306.3[自动化与计算机技术—计算机系统结构]