An approach for bearing fault detection in electrical motors

Author:

Gülmezoğlu M. Bilginer,Ergin Semih

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference34 articles.

1. . A new bearing fault detection and diagnosis scheme based on Hidden Markov Modeling of vibration signals. In Proceedings of IEEE Acoustics, Speech and Signal Processing (ICASSP'01). Vol 5, Utah, USA, 2001: pp. 3141–3144.

2. , , et al. Automatic fault monitoring using acoustic emissions. In Proceedings of IEEE Acoustics, Speech and Signal Processing. Vol 3, Munich, Germany, 1997: pp. 1893–1896.

3. , . A neural network method for induction machine fault detection with vibration signal. In Proceedings of Computational Science and Its Applications (ICCSA'05). Singapore, 2005: pp. 1293–1302.

4. , , et al. A comparison of phase space reconstruction and spectral coherence approaches for diagnostics of bar and end-ring connector breakage faults in polyphase induction motors using current waveforms. In Proceedings of 37th IEEE Industrial Applications Conference. California, USA, 2002: pp. 1541–1547.

Cited by 13 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 hybrid method based on deep learning and ensemble learning for induction motor fault detection using sound signals;Multimedia Tools and Applications;2023-12-04

2. THE DETECTION OF EGGSHELL CRACKS USING DIFFERENT CLASSIFIERS;Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering;2022-04-05

3. Classification of Fault Severity in Induction Machine Systems Based on Temporal Convolutions and Recurrent Networks;International Transactions on Electrical Energy Systems;2022-02-16

4. Face Recognition by Using 2D Orthogonal Subspace Projections;Traitement du Signal;2021-02-28

5. Intelligent Data Analytics for 3-Phase Induction Motor Fault Diagnosis Using Gene Expression Programming (GEP);Intelligent Data-Analytics for Condition Monitoring;2021

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