Data-driven approaches have gained interest recently in the field of wind energy. Data-
driven online estimators have been investigated and demonstrated in several applications …

The loading of wind turbines is in general not monitored and measurements are only
performed for the validation of prototypes. A shift towards increased use of load monitoring …

If at least one reference wind turbine is available, which provides sufficient information about
the wind turbine loads, the loads acting on the neighbouring wind turbines can be predicted …

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

Wind energy is one of the most important technologies for a climate-neutral energy supply.
However, the premature failure of wind turbines due to unknown loads leads to a reduction …

This paper presents a Digital Twin for virtual sensing of wind turbine aerodynamic hub
loads, as well as monitoring the accumulated fatigue damage and remaining useful life in …

If at least one reference wind turbine, providing sufficient information about the wind turbine
loads is available an artificial neural network (ANN) can be implemented to monitor the …

The development of structural health monitoring algorithms for wind turbines is an emerging
need because of the aging issue in wind farm facilities. An emerging field of data-driven …

Monitoring a wind turbine requires intensive instrumentation, which would be too cost-
prohibitive to deploy to an entire wind plant. This work presents a technique that uses readily …

Fatigue represents a critical issue in many structural applications, and wind turbines are not
an exception. Their dynamic response over the years determines the turbine's lifespan …