AQUADA: Automated quantification of damages in composite wind turbine blades for LCOE reduction.
- Published in:
- Wind Energy, 2021, v. 24, n. 6, p. 535, doi. 10.1002/we.2587
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- Publication type:
- Article
Works matching IS 10954244 AND DT 2021 AND VI 24 AND IP 6
Results: 8
1
2
Data analysis and simulation of the Lillgrund wind farm.
- Published in:
- Wind Energy, 2021, v. 24, n. 6, p. 634, doi. 10.1002/we.2594
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- Publication type:
- Article
3
POD‐based analysis of a wind turbine wake under the influence of tower and nacelle.
- Published in:
- Wind Energy, 2021, v. 24, n. 6, p. 609, doi. 10.1002/we.2592
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- Publication type:
- Article
4
Data‐driven modeling for fatigue loads of large‐scale wind turbines under active power regulation.
- Published in:
- Wind Energy, 2021, v. 24, n. 6, p. 558, doi. 10.1002/we.2589
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- Publication type:
- Article
5
A simple method for modelling fatigue spectra of small wind turbine blades.
- Published in:
- Wind Energy, 2021, v. 24, n. 6, p. 549, doi. 10.1002/we.2588
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- Publication type:
- Article
6
Issue Information.
- Published in:
- Wind Energy, 2021, v. 24, n. 6, p. 531, doi. 10.1002/we.2533
- Publication type:
- Article
7
Identification of kite aerodynamic characteristics using the estimation before modeling technique.
- Published in:
- Wind Energy, 2021, v. 24, n. 6, p. 596, doi. 10.1002/we.2591
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- Publication type:
- Article
8
Optimal design of passive‐adaptive pendulum tuned mass damper for the global vibration control of offshore wind turbines.
- Published in:
- Wind Energy, 2021, v. 24, n. 6, p. 573, doi. 10.1002/we.2590
- By:
- Publication type:
- Article