The increasing demand for wind power requires more frequent inspections to identify
defects in the Wind Turbine Blades (WTBs). These defects, if not detected, can compromise …

Due to global efforts to reduce the rise in the average global temperature by replacing fossil
fuels, the amount of wind power installed worldwide is continuously increasing. The costs …

The hydro-turbine is the core equipment of the hydropower station, and it is essential to
diagnose and identify its faults. A fault diagnosis model based on Bayesian optimization …

Offshore wind turbines are exposed during their serviceable lifetime to a wide range of loads
from aero-, hydro-and structural dynamics. This complex loading scenario will have an …

Lifetime fatigue damage prediction plays a key factor in wind turbine structure's reliability
assessment. However, the damage estimation of wind turbines requires thousands of …

Modern wind turbines have multiple sensors installed and provide constant data stream
outputs; however, there are some important quantities where installing physical sensors is …

Abstract The Digital Twin (DT) paradigm offers an extension of simulation model utility into
the operational phase of an engineering asset. The goal is a simulation “twinned” with …

Wind speed is the driver of wind turbines, and the precise estimate of that makes it possible
to improve the control effects and the efficiency of energy production. This paper proposes a …

In this paper, a Gaussian process regression surrogate model with transfer learning (TL-
GPRSM) is introduced to reduce the computational cost of structural reliability analysis by …

Estimating internal forces and corresponding fatigue damage plays a central role in the
definition of operation strategies of any wind turbine, particularly in offshore scenarios …