Continuous wavelet transform-based method for enhancing estimation of wind turbine blade natural frequencies and damping for machine learning purposes

Author:

Janeliukstis R.

Funder

Energistyrelsen

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference51 articles.

1. Ultra-long blades for next generation offshore wind turbines;Korsgaard,2018

2. Design of an aeroelastically tailored 10 MW wind turbine rotor;Zahle;J. Phys. Conf. Ser.,2016

3. E. Di Lorenzo, S. Manzato, M.M. Luczak, B. Peeters, and K. Branner, Strain-based operational modal analysis for wind turbine blades, in: Proceedings of 8th International Operational Modal Analysis Conference, IOMAC 19, 2019 May 12–14, Copenhagen, Denmark.

4. M. Luczak, B. Peeters, S. Manzato, E. Di Lorenzo, P.Z. Csurcsia, K. Reck-Nielsen, P. Berring, P.U. Hasselbach, V. Ruffini, K. Branner, Integrated dynamic testing and analysis approach for model validation of an innovative wind turbine blade design, in: Proceedings of 28th ISMA conference on Noise and Vibration Engineering, ISMA 2018, 2018 September 17–19, Leuven, Belgium.

5. M.M. Luczak, B. Peeters, S. Manzato, E. Di Lorenzo, K. Reck-Nielsen, P. Berring, P.U. Haselbach, K. Branner, Research sized wind turbine blade modal tests: comparison of the impact excitation with shaker excitation, Journal of Physics: Conference Series, vol. 1102, WindEurope conference 2018 within the Global Wind Summit 25–28 September 2018, Hamburg, Germany.

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