三峡大学学报（自然科学版）Issue(4)：101-104,4.DOI:10.13393/j.cnki.issn.1672-948X.2014.04.022
RBF神经网络在旋转机械故障诊断中的应用
Application of RBF Neural Network to Fault Diagnosis of Rotary Machines
陈松1
作者信息
- 1. 安徽建筑大学 机械与电气工程学院，合肥 230601
- 折叠
摘要
Abstract
The frequency spectrum energy and axis orbit characteristics are used as the characteristics of me-chanical failure.Matlab software is used for programming,and then to obtain the recognition results.Using radial basis function(RBF)neural network in mechanical fault diagnosis,compared with the BP neural net-work and Elman neural network,the former has higher speed,higher accuracy and small identification error.关键词
RBF神经网络/故障诊断/Matlab/旋o转机械/转子故障Key words
radial basis funcction(RBF)neural network/fault diagnosis/Matlab/rotating machinery/rotor fault分类
机械制造引用本文复制引用
陈松..RBF神经网络在旋转机械故障诊断中的应用[J].三峡大学学报（自然科学版）,2014,(4):101-104,4.
