Works matching IS 10954244 AND DT 2019 AND VI 22 AND IP 10
Results: 11
Quantile regression neural network‐based fault detection scheme for wind turbines with application to monitoring a bearing.
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- Wind Energy, 2019, v. 22, n. 10, p. 1390, doi. 10.1002/we.2375
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- Article
Low‐frequency dynamics of a floating wind turbine in wave tank–scaled experiments with SiL hybrid method.
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- Wind Energy, 2019, v. 22, n. 10, p. 1402, doi. 10.1002/we.2377
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- Article
Filtered actuator disks: Theory and application to wind turbine models in large eddy simulation.
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- Wind Energy, 2019, v. 22, n. 10, p. 1414, doi. 10.1002/we.2376
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- Article
Surrogate models for parameterized representation of wake‐induced loads in wind farms.
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- Wind Energy, 2019, v. 22, n. 10, p. 1371, doi. 10.1002/we.2362
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- Article
Laminar‐turbulent transition detection on airfoils by high‐frequency microphone measurements.
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- Wind Energy, 2019, v. 22, n. 10, p. 1356, doi. 10.1002/we.2361
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- Article
Model‐based control addition to prescribe DFIG wind turbine fast frequency response.
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- Wind Energy, 2019, v. 22, n. 10, p. 1343, doi. 10.1002/we.2360
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- Article
Optimisation of design and operation of generators for offshore vertical axis wind turbines.
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- Wind Energy, 2019, v. 22, n. 10, p. 1324, doi. 10.1002/we.2359
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- Article
A new method for spatial allocation of turbines in a wind farm based on lightning protection efficiency.
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- Wind Energy, 2019, v. 22, n. 10, p. 1310, doi. 10.1002/we.2357
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On wind turbine loads during the evening transition period.
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- Wind Energy, 2019, v. 22, n. 10, p. 1288, doi. 10.1002/we.2355
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- Article
Simulating subhourly variability of wind power output.
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- Wind Energy, 2019, v. 22, n. 10, p. 1275, doi. 10.1002/we.2354
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- Article
Issue Information.
- Published in:
- Wind Energy, 2019, v. 22, n. 10, p. N.PAG, doi. 10.1002/we.2246
- Publication type:
- Article