Misalignment Detection of Rotating Machine Shaft Using Artificial Neural Network and t-Distributed Stochastic Neighbor Embedding Classification Technique
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s40313-022-00976-1.pdf
Reference36 articles.
1. Afrizal, N., & Ferrero, R. (2020). Leakage error compensation in motor current signature analysis for shaft misalignment detection in submersible pumps. IEEE Transactions on Instrumentation and Measurement, 69, 8821–8830. https://doi.org/10.1109/TIM.2020.2998301
2. Behera, D. P., Behera, R. & Naikan, V. N. A. (2014) Virtual fault simulation for diagnosis of shaft misalignment of rotating machine. In Proceedings of 2014 international conference on advances in computing, communications and informatics (ICACCI) (pp. 2476–2480). https://doi.org/10.1109/ICACCI.2014.6968225
3. Byrne, G., Dornfeld, D., Inasaki, I., Ketteler, G., König, W., & Teti, R. (1995). Tool condition monitoring (TCM)—The status of research and industrial application. CIRP Annals - Manufacturing Technology, 44, 541–567. https://doi.org/10.1016/S0007-8506(07)60503-4
4. Çelik, E., Dalcali, A., Öztürk, N. & Canbaz, R. (2013). An adaptive PI controller schema based on fuzzy logic controller for speed control of permanent magnet synchronous motors. In 4th international conference on power engineering, energy and electrical drives (pp. 715–720). https://doi.org/10.1109/PowerEng.2013.6635698
5. Çelik, E., Uzun, Y., Kurt, E., Öztürk, N., & Topaloğlu, N. (2018). A neural network design for the estimation of nonlinear behavior of a magnetically-excited piezoelectric harvester. Journal of Electronic Materials, 47, 4412–4420. https://doi.org/10.1007/s11664-018-6078-z
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