基于BP神经网络的故障诊断专家系统

Rong Hua, Chen Qiu
{"title":"基于BP神经网络的故障诊断专家系统","authors":"Rong Hua, Chen Qiu","doi":"10.1109/IAEAC.2015.7428684","DOIUrl":null,"url":null,"abstract":"This paper summarizes the features and principles of artificial neural network, and problems existing in the traditional expert system. Then it introduces the structural components and advantages of fault diagnosis system which combined with artificial neural network and expert system. Finally it elaborates the basic principle and implementation process of fault diagnosis expert system based on BP neural network.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The fault diagnosis expert system based on BP neural network\",\"authors\":\"Rong Hua, Chen Qiu\",\"doi\":\"10.1109/IAEAC.2015.7428684\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper summarizes the features and principles of artificial neural network, and problems existing in the traditional expert system. Then it introduces the structural components and advantages of fault diagnosis system which combined with artificial neural network and expert system. Finally it elaborates the basic principle and implementation process of fault diagnosis expert system based on BP neural network.\",\"PeriodicalId\":398100,\"journal\":{\"name\":\"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAEAC.2015.7428684\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC.2015.7428684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本文综述了人工神经网络的特点和原理,以及传统专家系统存在的问题。然后介绍了人工神经网络与专家系统相结合的故障诊断系统的结构组成及优点。最后阐述了基于BP神经网络的故障诊断专家系统的基本原理和实现过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The fault diagnosis expert system based on BP neural network
This paper summarizes the features and principles of artificial neural network, and problems existing in the traditional expert system. Then it introduces the structural components and advantages of fault diagnosis system which combined with artificial neural network and expert system. Finally it elaborates the basic principle and implementation process of fault diagnosis expert system based on BP neural network.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信