Abstract
Renewable sources, with a focus on wind energy, play a crucial role in global energy sustainability. However, to maximize their utilization, the development of fault diagnosis tools for wind turbine units (WTUs) is necessary. Therefore, this research project aims to compare time series decomposition methods for generating features for classification algorithms applied to WTU fault diagnos…