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
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