[HTML][HTML] Characterizing the wake effects on wind power generator operation by data-driven techniques
Wakes between neighboring wind turbines are a significant source of energy loss in wind
farm operations. Extensive research has been conducted to analyze and understand wind …
farm operations. Extensive research has been conducted to analyze and understand wind …
Graph Spatio-Temporal Networks for Condition Monitoring of Wind Turbine
Condition monitoring of wind turbines (WTs) is essential for advancing wind energy. Existing
data-driven methods heavily rely on deep learning and Big Data, leading to challenges in …
data-driven methods heavily rely on deep learning and Big Data, leading to challenges in …
[HTML][HTML] Assessing the effects of anemometer systematic errors on wind generators performance by data-driven techniques
Systematic measurement errors frequently affect the anemometers installed on wind
turbines, reducing the generator conversion efficiency, and resulting in significant …
turbines, reducing the generator conversion efficiency, and resulting in significant …
Experimental analysis of the effect of static yaw error on wind turbine nacelle anemometer measurements
The operation of wind turbines in real-world environments can be affected by the presence
of systematic errors, which might diminish the Annual Energy Production up to 3-4 …
of systematic errors, which might diminish the Annual Energy Production up to 3-4 …
Wind energy system fault classification and detection using deep convolutional neural network and particle swarm optimization‐extreme gradient boosting
CY Lee, EDC Maceren - IET Energy Systems Integration, 2024 - Wiley Online Library
Wind energy is crucial in the global shift towards a sustainable energy system. Thus, this
research innovatively addresses the challenges in wind energy system fault classification …
research innovatively addresses the challenges in wind energy system fault classification …
Pattern mining based data fusion for wind turbine condition monitoring
X Chesterman, T Verstraeten, PJ Daems… - Journal of Physics …, 2023 - iopscience.iop.org
The profitability of wind turbine energy production is for an important part determined by the
operation and maintenance costs of wind turbines. An important driver of these costs is …
operation and maintenance costs of wind turbines. An important driver of these costs is …
Offshore field experimentation for novel hybrid condition monitoring approaches
This study details the development of a fully automated pipeline for the condition monitoring
of wind turbine drive trains. Vibration data is collected using hardware designed and …
of wind turbine drive trains. Vibration data is collected using hardware designed and …
Wind Power Applications of eXplainable Artificial Intelligence Techniques
The worldwide growth of wind power capacity underscores the need for more extensive data
utilization in critical areas such as Operation & Maintenance, condition monitoring, and …
utilization in critical areas such as Operation & Maintenance, condition monitoring, and …
[PDF][PDF] Characterizing the Wake Effects on Wind Power Generator Operation by Data-Driven Techniques. Energies 2023, 16, 5818
Wakes between neighboring wind turbines are a significant source of energy loss in wind
farm operations. Extensive research has been conducted to analyze and understand wind …
farm operations. Extensive research has been conducted to analyze and understand wind …
Determining the Behavior of the Wind Turbine Powertrain Using Mechanical Vibration and Seasonal Wind Data
Inadequate monitoring can accelerate failure of components, leading to reduced economic
viability of any equipment, as it may cause costly repairs, increased downtime, and …
viability of any equipment, as it may cause costly repairs, increased downtime, and …