模型预测感应电机在不同操作条件下的行为

A. Alshandoli
{"title":"模型预测感应电机在不同操作条件下的行为","authors":"A. Alshandoli","doi":"10.1109/ICEE.2007.4287286","DOIUrl":null,"url":null,"abstract":"This paper presents a simulation study to verify the capability of the instantaneous phase variation (IPV) for the detection of broken rotor bar faults in a squirrel cage induction motor. The three-phase squirrel cage motor model has been derived using a multi coupled circuits approach. The obtained results show that IPV has a good detection and diagnosis capabilities especially at full load conditions.","PeriodicalId":291800,"journal":{"name":"2007 International Conference on Electrical Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Model-Predicted Induction Motor Behaviour under Different Operating Conditions\",\"authors\":\"A. Alshandoli\",\"doi\":\"10.1109/ICEE.2007.4287286\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a simulation study to verify the capability of the instantaneous phase variation (IPV) for the detection of broken rotor bar faults in a squirrel cage induction motor. The three-phase squirrel cage motor model has been derived using a multi coupled circuits approach. The obtained results show that IPV has a good detection and diagnosis capabilities especially at full load conditions.\",\"PeriodicalId\":291800,\"journal\":{\"name\":\"2007 International Conference on Electrical Engineering\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEE.2007.4287286\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEE.2007.4287286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

本文通过仿真研究验证了瞬时相位变化(IPV)检测鼠笼式异步电动机转子断条故障的能力。采用多耦合电路的方法推导了三相鼠笼电机模型。结果表明,IPV具有良好的检测和诊断能力,特别是在满负荷工况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model-Predicted Induction Motor Behaviour under Different Operating Conditions
This paper presents a simulation study to verify the capability of the instantaneous phase variation (IPV) for the detection of broken rotor bar faults in a squirrel cage induction motor. The three-phase squirrel cage motor model has been derived using a multi coupled circuits approach. The obtained results show that IPV has a good detection and diagnosis capabilities especially at full load conditions.
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