首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于小波神经网络的电源车故障诊断研究
引用本文:魏天波,李孝全,杜廷岳.基于小波神经网络的电源车故障诊断研究[J].移动电源与车辆,2012(3):35-39.
作者姓名:魏天波  李孝全  杜廷岳
作者单位:空军工程大学导弹学院,陕西三原,713800
摘    要:简要介绍了小波神经网络理论,在分析某武器系统电源车模型的基础上,运用小波神经网络理论,构建小波神经网络,再进行网络训练与测试。算例结果表明,本方法可提高故障诊断的效率和准确性,对电源车的故障诊断具有重要意义。

关 键 词:故障诊断  小波神经网络  地空导弹  电源车

Fault Diagnosis Research of The Power Vehicle Based on Wavelet Neural Network
WEI Tian-bo , LI Xiao-quan , DU Ting-yue.Fault Diagnosis Research of The Power Vehicle Based on Wavelet Neural Network[J].Movable Power Station & Vehicle,2012(3):35-39.
Authors:WEI Tian-bo  LI Xiao-quan  DU Ting-yue
Institution:(The Missile Institute ofAir Force Engineering University,Sanyuan 713800,China)
Abstract:The wavelet neural network theory was introduced in this paper. On the base of analyzing certain weapon system electric power vehicle model, using the theory of wavelet neural network, the wavelet neural network was set up, trained and tested. Example result indicates that this method can be raised the efficiency and the accu- racy of fault diagnosis, and the fault diagnosis to the electric power vehicle possesses the important meaning.
Keywords:the fault diagnosis  the wavelet neural network  the ground-to-air missile  electric power vehicle
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