国际设备工程与管理（英文版）2004，Vol.9Issue(2)：72-78,7.
Establishment of a Fault Prognosis Model Using Wavelet Neural Networks and Its Engineering Application
Establishment of a Fault Prognosis Model Using Wavelet Neural Networks and Its Engineering Application
LIU Qi-peng 1FENG Quan-ke 1XIONG Wei1
作者信息
- 1. School of Energy and Power Engineering,Xi'an Jiaotong University,Xi'an,Shaanxi,710049,P.R.China
- 折叠
摘要
Abstract
Fault diagnosis is confronted with two problems; how to "measure" the growth of a fault and how to predict the remaining useful lifetime of such a failing component or machine.This paper attempts to solve these two problems by proposing a model of fault prognosis using wavelet basis neural network.Gaussian radial basis functions and Mexican hat wavelet frames are used us scaling functions and wavelets,respectively.The centers of the basis functions are calculated using a dyadic expansion scheme and a k-means clustering algorithm.关键词
fault diagnosis/fault prognosis/neural networks/wavelet neural networks/radial basis functionKey words
fault diagnosis/fault prognosis/neural networks/wavelet neural networks/radial basis function分类
机械制造引用本文复制引用
LIU Qi-peng,FENG Quan-ke,XIONG Wei..Establishment of a Fault Prognosis Model Using Wavelet Neural Networks and Its Engineering Application[J].国际设备工程与管理（英文版）,2004,9(2):72-78,7.
