Rapid estimate of wind turbine energy loss due to blade leading edge delamination using artificial neural networks

MS Campobasso, A Cavazzini… - Journal of …, 2020 - asmedigitalcollection.asme.org
Estimating reliably and rapidly the losses of wind turbine annual energy production due to
blade surface damage is essential for optimizing maintenance planning and, in the case of …

Rapid estimate of wind turbine energy loss due to blade leading edge delamination using artificial neural networks

MS Campobasso, A Cavazzini… - Journal of …, 2020 - pureportal.strath.ac.uk
Estimating reliably and rapidly the losses of wind turbine annual energy production due to
blade surface damage is essential for optimizing maintenance planning and, in the case of …

Rapid estimate of wind turbine energy loss due to blade leading edge delamination using artificial neural networks

MS Campobasso, A Cavazzini… - Journal of …, 2020 - strathprints.strath.ac.uk
Estimating reliably and rapidly the losses of wind turbine annual energy production due to
blade surface damage is essential for optimizing maintenance planning and, in the case of …

[引用][C] Rapid estimate of wind turbine energy loss due to blade leading edge delamination using artificial neural networks

MS Campobasso, A Cavazzini, E Minisci - pureportal.strath.ac.uk
Rapid estimate of wind turbine energy loss due to blade leading edge delamination using
artificial neural networks – Equipment — University of Strathclyde Skip to main navigation Skip …

[引用][C] Rapid Estimate of Wind Turbine Energy Loss Due to Blade Leading Edge Delamination Using Artificial Neural Networks

MS Campobasso, A Cavazzini, E Minisci - 2020 - The American Society of Mechanical …