FEM-Analytical Hybrid Model for Real Time Simulation of IMs Under Static Eccentricity Fault

Á. Sapena-Bañó, M. Riera-Guasp, J. Martínez-Román, M. Pineda-Sánchez, R. Puche-Panadero, J. Pérez-Cruz
{"title":"FEM-Analytical Hybrid Model for Real Time Simulation of IMs Under Static Eccentricity Fault","authors":"Á. Sapena-Bañó, M. Riera-Guasp, J. Martínez-Román, M. Pineda-Sánchez, R. Puche-Panadero, J. Pérez-Cruz","doi":"10.1109/DEMPED.2019.8864895","DOIUrl":null,"url":null,"abstract":"The detection of abnormal eccentricity levels is a key issue for induction machines reliability, as it is related to the development of mechanical faults that produce most of induction motor (IM) breakdowns. To favour the development of on-line fault diagnosis techniques, it is necessary to have real-time currents to test the new techniques and devices under a wide variety of scenarios. Models running in real time in hardware in the loop (HIL) simulators could have a major impact in the development of the fault diagnosis techniques as they are free of the main drawbacks of test benches (high material and time costs, limited fault conditions that can be tested). These models must be accurate enough and they must run in real time. In this paper, a model of IM considering the static eccentricity (SE) fault is presented. The model takes advantage of the accuracy of the finite element method (FEM) to compute the coupling parameters which are used in an analytical model which can run in real-time in a HIL simulator. The model has been used to track the evolution of the SE related components in the stator current of an IM for several fault severity degrees.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEMPED.2019.8864895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

The detection of abnormal eccentricity levels is a key issue for induction machines reliability, as it is related to the development of mechanical faults that produce most of induction motor (IM) breakdowns. To favour the development of on-line fault diagnosis techniques, it is necessary to have real-time currents to test the new techniques and devices under a wide variety of scenarios. Models running in real time in hardware in the loop (HIL) simulators could have a major impact in the development of the fault diagnosis techniques as they are free of the main drawbacks of test benches (high material and time costs, limited fault conditions that can be tested). These models must be accurate enough and they must run in real time. In this paper, a model of IM considering the static eccentricity (SE) fault is presented. The model takes advantage of the accuracy of the finite element method (FEM) to compute the coupling parameters which are used in an analytical model which can run in real-time in a HIL simulator. The model has been used to track the evolution of the SE related components in the stator current of an IM for several fault severity degrees.
静态偏心故障下IMs实时仿真的有限元-解析混合模型
异常偏心水平的检测是感应电机可靠性的关键问题,因为它关系到产生大多数感应电机故障的机械故障的发展。为了促进在线故障诊断技术的发展,需要有实时电流来测试各种场景下的新技术和新设备。在硬件在回路(HIL)模拟器中实时运行的模型可以对故障诊断技术的发展产生重大影响,因为它们没有测试台的主要缺点(高材料和时间成本,可测试的故障条件有限)。这些模型必须足够精确,并且必须实时运行。本文提出了一种考虑静偏心率(SE)故障的IM模型。该模型充分利用了有限元法计算耦合参数的准确性,并将其应用于可在HIL仿真机上实时运行的解析模型中。该模型用于跟踪不同故障严重程度的IM定子电流中SE相关元件的演化。
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