A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis
Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …
the efficient production and financial viability of wind power, it is crucial to maintain wind …
Automated extraction of energy systems information from remotely sensed data: A review and analysis
High quality energy systems information is a crucial input to energy systems research,
modeling, and decision-making. Unfortunately, actionable information about energy systems …
modeling, and decision-making. Unfortunately, actionable information about energy systems …
[HTML][HTML] Using machine learning and computer vision to estimate the angular velocity of wind turbines in smart grids remotely
Today, power generation from clean and renewable resources such as wind and solar is of
great salience. Smart grid technology efficiently responds to the increasing demand for …
great salience. Smart grid technology efficiently responds to the increasing demand for …
[HTML][HTML] Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open-Access Papers
N Hütten, M Alves Gomes, F Hölken… - Applied System …, 2024 - mdpi.com
Quality assessment in industrial applications is often carried out through visual inspection,
usually performed or supported by human domain experts. However, the manual visual …
usually performed or supported by human domain experts. However, the manual visual …
Portable motorized telescope system for wind turbine blades damage detection
Wind turbines are among the fastest‐growing sources of energy production and the
maintenance operations include regular inspection of their blades, causing considerable …
maintenance operations include regular inspection of their blades, causing considerable …
[HTML][HTML] Estimation of wind turbine angular velocity remotely found on video mining and convolutional neural network
Today, energy issues are more important than ever. Because of the importance of
environmental concerns, clean and renewable energies such as wind power have been …
environmental concerns, clean and renewable energies such as wind power have been …
[HTML][HTML] Optimizing the recognition and feature extraction of wind turbines through hybrid semantic segmentation architectures
Updating the mapping of wind turbines farms—found in constant expansion—is important to
predict energy production or to minimize the risk of these infrastructures during storms. This …
predict energy production or to minimize the risk of these infrastructures during storms. This …
[HTML][HTML] DetEEktor: Mask R-CNN based neural network for energy plant identification on aerial photographs
M Schulz, B Boughattas, F Wendel - Energy and AI, 2021 - Elsevier
Decentralized renewable energies (RE) represent one of the most important elements for
future energy systems. For an optimal integration, a comprehensive knowledge of the …
future energy systems. For an optimal integration, a comprehensive knowledge of the …
[HTML][HTML] A data-centric approach for wind plant instance-level segmentation using semantic segmentation and GIS
OLF de Carvalho, OA de Carvalho Junior… - Remote Sensing, 2023 - mdpi.com
Wind energy is one of Brazil's most promising energy sources, and the rapid growth of wind
plants has increased the need for accurate and efficient inspection methods. The current …
plants has increased the need for accurate and efficient inspection methods. The current …
[HTML][HTML] Identifying wind turbines from multiresolution and multibackground remote sensing imagery
Y Zhai, X Chen, X Cao, X Cui - … Journal of Applied Earth Observation and …, 2024 - Elsevier
The wind energy industry has expanded in recent years. Promotion of the Sustainable
Development Goals (SDGs) is expected to further increase the scale of the wind energy …
Development Goals (SDGs) is expected to further increase the scale of the wind energy …