FEA model study of spectral signature patterns of PM demagnetisation faults in synchronous PM machines
Author:
Affiliation:
1. The University of ManchesterUK
2. The University of HuddersfieldUK
Publisher
Institution of Engineering and Technology (IET)
Subject
General Engineering,Energy Engineering and Power Technology,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.8048
Reference11 articles.
1. Detecting rotor faults in low power permanent magnet synchronous machines;Roux W.;IEEE Trans. Power Electron.,2007
2. CasadeiD. FilippettiF. RossiC.et al.: ‘Magnets faults characterization for permanent magnet synchronous motors’.IEEE Int. Symp. on Diagnostics for Electric Machines Power Electronics and Drives Cargese France 2009
3. RoseroJ.A. CusidoJ. GarciaA.et al.: ‘Study on the permanent magnet demagnetization fault in permanent magnet synchronous machines’.IECON 32nd Annual Conf. on IEEE Industrial Electronics Paris France 2006 pp.879–884
4. HabetlerT.G.: ‘Current‐based condition monitoring of electrical machines in safety critical applications’.13th Int. Power Electronics Motion Control Conf. Poznan Poland 2008 pp.21–26
5. Review of condition monitoring of rotating electrical machines;Tavner P.J.;IET Electr. Power Appl.,2007
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Analytical and Finite Element Analysis for Demagnetization Fault of External Rotor PMSM;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16
2. Finite Element Analysis Study of FBG Magnetostrictive Composite Flux Sensor Geometry for Electric Motor Air-gap Flux Monitoring;2022 11th Mediterranean Conference on Embedded Computing (MECO);2022-06-07
3. FBG Magnetostrictive Composite Flux Sensor for Monitoring Rotor Permanent Magnet Flux;2022 11th Mediterranean Conference on Embedded Computing (MECO);2022-06-07
4. Airgap and stray magnetic flux monitoring techniques for fault diagnosis of electrical machines: An overview;IET Electric Power Applications;2021-11-13
5. An End-to-End, Real-Time Solution for Condition Monitoring of Wind Turbine Generators;Energies;2020-09-15
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3