Wind turbine blades fault diagnosis based on vibration dataset analysis

Author:

Ogaili Ahmed Ali FarhanORCID,Abdulhady Jaber AlaaORCID,Hamzah Mohsin Noori

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference7 articles.

1. Structural analysis of a composite wind turbine blade;Amer;Int. J. Aerospace Mech. Eng.,2014

2. Integration of Machine Learning (ML) and Finite Element Analysis (FEA) for Predicting the Failure Modes of a Small Horizontal Composite Blade;Ogaili;Int. J. Renew. Energ. Res. (IJRER),2022

3. Free Vibration Analysis of a Wind Turbine Blade Made of Composite Materials;Ogaili;Int. Middle East. Simulat. Model. Conf. 2022, MESM 2022,2022

4. Wind Turbine Blades Fault Diagnosis based on Vibration Dataset Analysis;Ogaili;Mendeley Data, V2,2023

5. Jaber, A.A.; Bicker, R. A simulation of nonstationary signal analysis using a wavelet transform based on LabVIEW and Matlab. In Proceedings of the UKSim-AMSS 8th European Modeling Symposium on Computer Modeling and Simulation, EMS 2014, Pisa, Italy, 21–23 October 2014; pp. 138–144. 4 doi:10.1109/EMS.2014.38.

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