A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis

H Badihi, Y Zhang, B Jiang, P Pillay… - Proceedings of the …, 2022 - ieeexplore.ieee.org
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 …

Automated extraction of energy systems information from remotely sensed data: A review and analysis

S Ren, W Hu, K Bradbury, D Harrison-Atlas, LM Valeri… - Applied Energy, 2022 - Elsevier
High quality energy systems information is a crucial input to energy systems research,
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

M Bahaghighat, F Abedini, Q Xin, MM Zanjireh… - Energy Reports, 2021 - Elsevier
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 …

[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 …

Portable motorized telescope system for wind turbine blades damage detection

A Carnero, C Martín, M Díaz - Engineering Reports, 2023 - Wiley Online Library
Wind turbines are among the fastest‐growing sources of energy production and the
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

M Bahaghighat, Q Xin, SA Motamedi, MM Zanjireh… - Applied Sciences, 2020 - mdpi.com
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 …

[HTML][HTML] Optimizing the recognition and feature extraction of wind turbines through hybrid semantic segmentation architectures

MÁ Manso-Callejo, CI Cira, R Alcarria… - Remote Sensing, 2020 - mdpi.com
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 …

[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 …

[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 …

[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 …