首页 | 本学科首页   官方微博 | 高级检索  
     

基于遗传算法的故障诊断研究
引用本文:李敏君,杨昕卉,王荣芝,王淑玉. 基于遗传算法的故障诊断研究[J]. 微计算机信息, 2006, 22(16): 217-219
作者姓名:李敏君  杨昕卉  王荣芝  王淑玉
作者单位:1. 157012,黑龙江省牡丹江师范学院物理系
2. 牡丹江师范学院
摘    要:故障诊断对于事故后快速恢复具有重要意义,多种人工智能技术在其中得以应用,然而快速、准确的故障诊断仍是一个悬而未决的难题。本文介绍了遗传算法在故障诊断中的应用,故障诊断的遗传算法设计,给出实验及结论。指出将遗传算法应用于故障诊断可减少运算量、缩短平均诊断时间、提高诊断效率和故障识别精度。

关 键 词:遗传算法  故障诊断  并行搜索  全局搜索
文章编号:1008-0570(2006)06-1-0217-03
修稿时间:2005-10-10

The Study of Fault Diagnoses Based on Genetic Algorithm
Li Minjun,Yang Xinhuei,Wang Rongzhi,Wang Shuyu. The Study of Fault Diagnoses Based on Genetic Algorithm[J]. Control & Automation, 2006, 22(16): 217-219
Authors:Li Minjun  Yang Xinhuei  Wang Rongzhi  Wang Shuyu
Abstract:Fault diannosis is of meat importance in enhanc innservice reliability and reducinn power supply interruption in power systems. Many artificial intelligence techniques have been employed to solve this problem. The applications of Genetic Alnorithm in fault diannosis are described in this paper,and this means can reduce the operation quantity,shorten the averane time of diannosis and improve the efficiency of fault and the precision of fault detection.
Keywords:nenetic alnorithm  fault diannosis  parallel search  nlobal search
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号