7 citations as recorded by crossref.

1. Farm‐wide interface fatigue loads estimation: A data‐driven approach based on accelerometers F. de N Santos et al. 10.1002/we.2888
2. An identification method of floating wind turbine tower responses using deep learning technology in the monitoring system Z. Wang et al. 10.1016/j.oceaneng.2022.112105
3. Results of fatigue measurement campaign on XL monopiles and early predictive models F. Santos et al. 10.1088/1742-6596/2265/3/032092
4. Probabilistic temporal extrapolation of fatigue damage of offshore wind turbine substructures based on strain measurements C. Hübler & R. Rolfes 10.5194/wes-7-1919-2022
5. Long-term fatigue estimation on offshore wind turbines interface loads through loss function physics-guided learning of neural networks F. de N Santos et al. 10.1016/j.renene.2023.01.093
6. Monitoring system framework design for floating wind turbine using the deep learning technology and tower response identification considering sensor optimization Z. Wang et al. 10.1016/j.oceaneng.2024.117316
7. Data-driven farm-wide fatigue estimation on jacket-foundation OWTs for multiple SHM setups F. d N Santos et al. 10.5194/wes-7-299-2022