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基于BP神经网络的故障诊断技术研究
引用本文:贺小辉,石嵘. 基于BP神经网络的故障诊断技术研究[J]. 计算机与现代化, 2009, 0(7): 17-21. DOI: 10.3969/j.issn.1006-2475.2009.07.005
作者姓名:贺小辉  石嵘
作者单位:广州白云国际机场计算机中心,广东,广州,510470;广州白云国际机场计算机中心,广东,广州,510470
摘    要:分析了传统的故障诊断方法的特点和缺点,在此基础上选择BP神经网络应用于故障诊断,详细探讨了BP神经网络的建模方法,根据设备的层次结构和特点,将集成神经网络应用于故障诊断,有效地克服了单一神经网络故障诊断的一些缺点,大大提高了故障诊断的效率和准确率.

关 键 词:故障诊断  BP神经网络  集成神经网络

Research on Fault Diagnosis Technology Based on BP Neural Network
HE Xiao-hui,SHI Rong. Research on Fault Diagnosis Technology Based on BP Neural Network[J]. Computer and Modernization, 2009, 0(7): 17-21. DOI: 10.3969/j.issn.1006-2475.2009.07.005
Authors:HE Xiao-hui  SHI Rong
Affiliation:Information Technology Center of Guangzhou Baiyun Airport;Guangzhou 510470;China
Abstract:This paper analyzes the characteristics and shortages of traditional fault diagnosis methods,upon these analysis chooses BP neural network to perform fault diagnosis,discusses BP neural network model building method in detail,according to the layer structure and fault characteristics of equipment,applies neural network integrated technology to effectively overcome the shortage of single network fault diagnosis and increase its efficiency and accuracy dramatically.
Keywords:fault diagnosis  BP neural network  integrated neural network
本文献已被 CNKI 维普 万方数据 等数据库收录!
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