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

基于遗传神经网络的水电机组故障诊断模型
引用本文:赵永标,张其林,康长青.基于遗传神经网络的水电机组故障诊断模型[J].襄樊学院学报,2010,31(8):13-15.
作者姓名:赵永标  张其林  康长青
作者单位:襄樊学院,数学与计算机科学学院,湖北,襄樊,441053
摘    要:将遗传神经网络引入水电机组的故障诊断中,建立基于遗传神经网络的水电机组故障诊断模型,通过Matlab的相关工具箱进行仿真.结果表明遗传神经网络诊断的正确性高于BP网络.

关 键 词:故障诊断  神经网络  遗传算法  水电机组

Fault Diagnosis Model of Hydroelectric Units Based on Genetic Algorithm Neural Network
ZHAO Yong-biao,ZHANG Qi-lin,KANG Chang-qing.Fault Diagnosis Model of Hydroelectric Units Based on Genetic Algorithm Neural Network[J].Journal of Xiangfan University,2010,31(8):13-15.
Authors:ZHAO Yong-biao  ZHANG Qi-lin  KANG Chang-qing
Institution:(School of Mathematical and Computer Sciences,Xiangfan University,Xiangfan 441053,China)
Abstract:A fault diagnosis model of hydroelectric units based on genetic algorithm neural network is established by applying genetic algorithm neural network in the field of fault diagnosis.The simulation for the fault diagnosis model is implemented with corresponding toolboxes of Matlab.Results show the genetic algorithm neural network fault diagnosis model is better than BP neural network model in terms of precise.
Keywords:Fault diagnosis  Neural network  Genetic algorithm  Hydroelectric units
本文献已被 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