Detection of broken rotor bars in induction motor using starting-current analysis and effects of loading-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Detection of broken rotor bars in induction motor using starting-current analysis and effects of loading

Published:2006 Issue:6 Volume:153 Page:848
ISSN:1350-2352
Container-title:IEE Proceedings - Electric Power Applications
language:en
Short-container-title:IEE Proc., Electr. Power Appl.

Author:

Supangat R.,Ertugrul N.,Soong W.L.,Gray D.A.,Hansen C.,Grieger J.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://digital-library.theiet.org/content/journals/10.1049/ip-epa_20060060?crawler=true&mimetype=application/pdf

Reference11 articles.

1. Quantitative evaluation of induction motor broken bars by means of electrical signature analysis

2. A review of induction motors signature analysis as a medium for faults detection

3. Sensorless, online motor diagnostics

Cited by 48 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. A Comparative Classification Study for Broken Rotor Bar Fault and its Severity Analysis using Machine Learning Approaches in Rotating Machines;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03

2. Inverter-Fed Motor Drive System: A Systematic Analysis of Condition Monitoring and Practical Diagnostic Techniques;Energies;2023-07-26

3. Machine Learning Based Wavelet Decomposition Aided Surface Contamination Prediction of Outdoor Silicone Rubber Insulators;2022 IEEE Calcutta Conference (CALCON);2022-12-10

4. A Comprehensive Review of Conventional and Intelligence-Based Approaches for the Fault Diagnosis and Condition Monitoring of Induction Motors;Energies;2022-11-25

5. Broken Rotor Bar Fault Diagnosis Techniques Based on Motor Current Signature Analysis for Induction Motor—A Review;Energies;2022-11-16

同舟云学术

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