Experimental Investigation of Crack Detection in Ring Gears of Wind Turbine Gearboxes Using Acoustic Emissions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-023-00970-0.pdf
Reference51 articles.
1. Alvarez E, Ribaric A (2018) An improved-accuracy method for fatigue load analysis of wind turbine gearbox based on SCADA. Renew Energy 115:391–399. https://doi.org/10.1016/j.renene.2017.08.040
2. Ahmed Y, Arif A, Veldhuis S (2020) Application of the wavelet transform to acoustic emission signals for built-up edge monitoring in stainless steel machining. Meas 154:107478. https://doi.org/10.1016/j.measurement.2020.107478
3. Antoni J (2007) Cyclic spectral analysis in practice. Mech Syst Signal Process 21(2):597–630. https://doi.org/10.1016/j.ymssp.2006.08.007
4. Antoniadou I, Manson G, Staszewski WJ, Barszcz T, Worden K (2015) A time-frequency analysis approach for condition monitoring of a wind turbine gearbox under varying load conditions. Mech Syst Signal Process 64–65:188–216. https://doi.org/10.1016/j.ymssp.2015.03.003
5. Bajric R, Zuber N, Skrimpas GA, Mijatovic N (2016) Feature extraction using discrete wavelet transform for gear fault diagnosis of wind turbine gearbox. Shock Vib. https://doi.org/10.1155/2016/6748469
Cited by 4 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. Enhancing bearing and gear fault diagnosis: A VMD-PSO approach with multisensory signal integration;Journal of Vibration and Control;2024-09-12
2. Predictive Analysis of Crack Growth in Bearings via Neural Networks;Machines;2024-09-01
3. Quantitative Relationship Between Sliding-Generated Acoustic Emission and Friction Conditions at Bolted Joint Interfaces;Tribology Letters;2024-05-17
4. A Review on Acoustic Emissions of Gear Transmissions: Source, Influencing Parameters, Applications and Modeling;Journal of Vibration Engineering & Technologies;2024-03-25
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