首页 | 本学科首页   官方微博 | 高级检索  
     

基于模糊神经网络的直流电网故障诊断研究
引用本文:张小玉,黄维新. 基于模糊神经网络的直流电网故障诊断研究[J]. 机电产品开发与创新, 2009, 22(3): 75-76. DOI: 10.3969/j.issn.1002-6673.2009.03.031
作者姓名:张小玉  黄维新
作者单位:空军第一航空学院,河南,信阳,464000;空军第一航空学院,河南,信阳,464000
摘    要:介绍了模糊规则网络的原理,给出了神经网络模型在故障诊断过程中的学习算法,并将其应用于直流电网的故障诊断。结果表明:用模糊神经网络技术能够及时准确地对机器进行故障诊断,具有良好的应用前景。

关 键 词:模糊神经网络  直流  电网  故障诊断

Research of Fault Diagnosis for Direct Current Electrified Wire Netting Based on Fuzzy Neural Network
ZHANG Xiao-Yu,HUANG Wei-Xin. Research of Fault Diagnosis for Direct Current Electrified Wire Netting Based on Fuzzy Neural Network[J]. Development & Innovation of Machinery & Electrical Products, 2009, 22(3): 75-76. DOI: 10.3969/j.issn.1002-6673.2009.03.031
Authors:ZHANG Xiao-Yu  HUANG Wei-Xin
Affiliation:The First Aeronautics College of Air Force;Xinyang Henan 464000;China
Abstract:The theory of Fuzzy Neural Network is introduced,and it has been used in fault diagnosis for direct current electrified wire netting.The results illustrate that FNN is an effective method in fault diagnosis,and it can diagnose the faults of device quickly and accuracy,at the same time,it can provide reliable basis for device overhaul.
Keywords:fuzzy neural network  DC  electrified wire netting  fault diagnosis  
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