首页 | 本学科首页   官方微博 | 高级检索  
     

RBF神经网络在往复泵故障诊断中的应用
引用本文:李会明,裴峻峰,齐明侠,罗红梅.RBF神经网络在往复泵故障诊断中的应用[J].煤矿机械,2006,27(11):189-191.
作者姓名:李会明  裴峻峰  齐明侠  罗红梅
作者单位:1. 江苏工业学院,江苏,常州,213016;江苏省油气井口装备工程技术研究中心,江苏,常州,213016
2. 中国石油大学,山东,东营,257062
摘    要:论述了RBF神经网络的基本网络结构和网络的学习及运行过程,结果表明:RBF神经网络具有极快的学习收敛速度。讨论了RBF神经网络在往复泵故障诊断中的应用,并对训练后的网络进行了仿真测试,仿真结果表明RBF网络有较高诊断正确率。

关 键 词:神经网络  RBF  往复泵  故障诊断
文章编号:1003-0794(2006)11-0189-03
收稿时间:2006-08-28
修稿时间:2006-08-28

Application of RBF Neural Network in Fault Diagnosis of Reciprocating Pump
LI Hui-ming,PEI Jun-feng,QI Ming-xia,LUO Hong-mei.Application of RBF Neural Network in Fault Diagnosis of Reciprocating Pump[J].Coal Mine Machinery,2006,27(11):189-191.
Authors:LI Hui-ming  PEI Jun-feng  QI Ming-xia  LUO Hong-mei
Affiliation:1 .Jiangsu Polytechnic University, Changzhou 213016, China; 2 .Jiangsu Engineering Technology Center for Oil and Gas Well Equipment Research, Changzhou 213016, China; 3 .China University of Petroleum, Dongying 257062, China
Abstract:The architecture, learning and running of the radial basis function neural network are discussed. The result shows that the RBF network has a high learning rate. And then it discusses the study of RBF network applied to reciprocating pump fault diagnosis, and the simulated results show that the RBF network has a high accuracy of diagnosis.
Keywords:RBF
本文献已被 CNKI 维普 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