Wind turbine gearbox fault prognosis using high-frequency monitoring SCADA data

With growing wind energy capacity, especially offshore, reliability of wind turbines (WT) becomes a relevant concern. Poor reliability directly affects their cost effectiveness due to increased operation and maintenance ...

Comparing the performance of machine learning methods in a surrogate approach to optimize low-thrust interplanetary trajectories

Various machine learning algorithms have been applied to find optimal lowthrust<br/>satellite trajectories, however, no fair comparison of their accuracy has been made yet. In this paper, two common and promising supervised machine learning algorithms are compared for their regression capacities:<br/>the artificial neural network and the...