首页 | 本学科首页   官方微博 | 高级检索  
     

基于RS-SVM集成的排气阀故障诊断方法研究
引用本文:唐耀阳,王录帅,徐金良.基于RS-SVM集成的排气阀故障诊断方法研究[J].阀门,2010(6):33-35,41.
作者姓名:唐耀阳  王录帅  徐金良
作者单位:海军驻431厂军代表室;
摘    要:提出了一种基于粗糙集理论和支持向量机算法的阀门故障诊断方法。该方法可完成对不确定,不完整数据的约简,然后在此基础上设计支持向量机多分类器进行故障诊断。

关 键 词:粗糙集  排气阀  故障诊断

Study on fault diagnosis for exhaust valve based on rough sets and support vector machine
TANG Yao-yang,WANG Lu-Shuai,XU Jin-liang.Study on fault diagnosis for exhaust valve based on rough sets and support vector machine[J].Valve,2010(6):33-35,41.
Authors:TANG Yao-yang  WANG Lu-Shuai  XU Jin-liang
Affiliation:TANG Yao-yang,WANG Lu-Shuai,XU Jin-liang(Military affairs department of Naval service in 431 factory,Huludao 125004,China)
Abstract:A valve fault diagnosis method based on Rough Sets and Support Vector Machine is proposed.Firstly,the uncertain data is reduced based on RS theory.Therefore,according to the chosen reduction a SVM multi-classifier is designed for fault diagnosis.
Keywords:rough set  exhaust valve  fault diagnosis  
本文献已被 CNKI 维普 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