Digital Twin (DT) technology plays a crucial role in the modernization and optimization of
numerous industrial sectors. The blue economy encompasses established sectors such as …

The hydraulic excitation acting on a hydro-turbine generator unit exhibits obvious non-
stationary characteristics. In order to account for these characteristics, this study focuses on …

Numerical simulation is a common method for calculating the short-term extreme response
of floating offshore wind turbines (FOWTs). However, it requires significant computational …

With the increasing stringency of the Energy Efficiency Design Index (EEDI) requirements,
improving the efficiency of the propeller has emerged as a significant challenge in the …

In this study, signal-to-image conversion techniques coupled with a convolutional auto
encoder (CAE) are used for the detection of anomalies in the wind turbine (WT) gearbox …

This thesis presents an investigation into the use of deep learning for anomaly detection in
offshore wind turbine condition monitoring gearbox data. Focusing on the novel application …