SiWiRoRa - Simulated Wind-turbine Rotor-blade Radargrams

<h1>SiWiRoRa</h1> <p>SiWiRoRa stand for '<strong>Si</strong>mulated <strong>Wi</strong>nd-turbine <strong>Ro</strong>tor-blade <strong>Ra</strong>dargrams'.</p> <h2>Overview</h2> <p>A novel kind of dataset comprised of 9504 grayscale images (quadratic, 224 px) representing simulated radargrams. SiWiRoRa enables analytical machine-learning experiments in the emerging area of radar-based computer-vision research on wind-turbine rotor blades. Here, radargrams are images showing distance on the horizontal x-axis (increasing from left to right) and time on the vertical y-axis (increasing from top to bottom) as well as reflected intensity given by the colorscale (increasing from black to white).</p> <h2>Details</h2> <p>Geometries have been modeled using Cyberbotics Webots (1188 different configurations) and stochastic elements have been added in post-processing (additional 8 independent repetitions per 1 configuration). Besides this aforementioned stochastic noise, the dataset has a full-factorial design consisting in...&nbsp;</p> <ul> <li>9 distinct levels of rotor speeds (clockwise rotation when viewed from the exterior onto the rotor and the radar behind it)</li> <li>11 levels of the yaw angles (between radar direction and nacelle orientation)</li> <li>6 variations of wind pressure (forcing the rotor closer to the radar)</li> <li>2 different time offsets (corresponding to alternative triggers of the radar)</li> </ul> <p>Geometries have been chosen so as to yield non-axisymmetrical radargrams (even apart from noise).</p> <h2>Acknowledgements</h2> <p>The present dataset complements and has been inspired by the field measurements published under</p> <p>https://doi.org/10.5281/zenodo.8366654</p> <p>(Hyperlink is provided in the References section).</p>