The Early Fault Diagnosis Method of Induce Motor Based on Gray Prediction Nerve Network

L. Lin, Jian-cheng Song, Mu-qin Tian
{"title":"The Early Fault Diagnosis Method of Induce Motor Based on Gray Prediction Nerve Network","authors":"L. Lin, Jian-cheng Song, Mu-qin Tian","doi":"10.4156/IJIPM.VOL1.ISSUE1.12","DOIUrl":null,"url":null,"abstract":"It makes diagnosis of induce motor very complex that it’s fault omens and feature is non-linear. It is more difficult to get earlier period fault information and realize function reflection between information and running state. As the knowledge limitation and parameter change in running of induce motor, the gray prediction combined with the nerve network is used to predict feature parameter and future running state.","PeriodicalId":140876,"journal":{"name":"2009 International Conference on New Trends in Information and Service Science","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on New Trends in Information and Service Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4156/IJIPM.VOL1.ISSUE1.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

It makes diagnosis of induce motor very complex that it’s fault omens and feature is non-linear. It is more difficult to get earlier period fault information and realize function reflection between information and running state. As the knowledge limitation and parameter change in running of induce motor, the gray prediction combined with the nerve network is used to predict feature parameter and future running state.
基于灰色预测神经网络的感应电机早期故障诊断方法
感应电机的故障征兆和特征是非线性的,这使得感应电机的诊断非常复杂。早期故障信息的获取以及信息与运行状态之间的功能反映是较为困难的。针对感应电机运行过程中知识的有限性和参数的变化,采用灰色预测与神经网络相结合的方法对特征参数和未来运行状态进行预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:481959085
Book学术官方微信