首页 | 本学科首页   官方微博 | 高级检索  
     检索      

模糊聚类分析在机械故障诊断中应用评述
引用本文:孙永.模糊聚类分析在机械故障诊断中应用评述[J].云南农业大学学报,2008,23(5):698-700.
作者姓名:孙永
作者单位:云南农业大学工程技术学院
摘    要: 模糊聚类分析的优点是在无任何专家经验的基础上,就能给出各个变量之间的关系,即用模糊的方法来处理聚类问题。对国内近几年来

关 键 词:模糊聚类分析  机械故障  诊断  评述
收稿时间:2007-6-28
修稿时间:2007-8-5

A Review of Fuzzy Cluster Analysis and its Application to Mechanical Fault Diagnosis
SUN Yong.A Review of Fuzzy Cluster Analysis and its Application to Mechanical Fault Diagnosis[J].Journal of Yunnan Agricultural University,2008,23(5):698-700.
Authors:SUN Yong
Institution:Faculty of Engineering and Technology, Yunnan Agricultural University, Kunming 650201, China
Abstract:An advantage of fuzzy cluster analysis,which is a fuzzy approach to the clustering problems,is that it can find the relationship among different variables without any prior experience.The improved fuzzy cluster analysis was derived from the traditional fuzzy cluster analysis combined with other optimization algorithms and statistical analysis.In this paper,the application of the improved fuzzy cluster analysis in the different fields of the industrial production in recent years was discussed.
Keywords:fuzzy cluster analysis  mechanical fault  diagnosis  review
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《云南农业大学学报》浏览原始摘要信息
点击此处可从《云南农业大学学报》下载免费的PDF全文
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