PhD Student, Basque Center for Applied Mathematics
BiographyMr Gorostidi is a mechanical engineer, who is currently completing a PhD in Applied Mathematics and Statistics at Basque Center for Applied Mathematics. He has worked in projects related to floating offshore wind for two years. He has completed an MSc in Computational Fluid Dynamics at Cranfield University, where he developed a traffic flow modelling tool for autonomous vehicle routing purposes. In his research, he is studying how deep learning techniques can help reduce maintenance costs of mooring systems within floating offshore wind turbines. He completed his mechanical engineering studies while working part-time as a jazz pianist.
- Floating – what have we learnt from the small projects so far?
Predictive Maintenance of Floating Offshore Wind Turbine Mooring Lines using Deep Neural Networks