电气技术Issue(9)：34-37,4.
基于小波神经网络的风电变流器故障诊断系统
Fault Diagnosis System of Wind Power Converter Based on Wavelet Neural Network
褚召伟 1李春茂 1何登 1严肃1
作者信息
- 1. 西南交通大学电气工程学院,成都610031
- 折叠
摘要
Abstract
Because of the wavelet neural network has strong approximation ability and fault tolerance.This paper studies a set of fault diagnosis system of wind power converter based on Wavelet Neural Network. Firstly, Setting the failure of the wind power converter, and then using the multi-resolution characteristics of wavelet transform, extracted the fault feature vectors of wind power converter, Finally, using the BP neural network for fault identification. Simulation results show that, the wind power converter fault diagnosis system has strong stability and accuracy.关键词
小波神经网络/故障诊断/风电变流器Key words
Wavelet Neural Network/Fault Diagnosis~ Wind power converter分类
信息技术与安全科学引用本文复制引用
褚召伟,李春茂,何登,严肃..基于小波神经网络的风电变流器故障诊断系统[J].电气技术,2012,(9):34-37,4.
