Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future

J Chatterjee, N Dethlefs - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Wind energy has emerged as a highly promising source of renewable energy in recent
times. However, wind turbines regularly suffer from operational inconsistencies, leading to …

Intelligent condition monitoring of wind power systems: State of the art review

M Benbouzid, T Berghout, N Sarma, S Djurović, Y Wu… - Energies, 2021 - mdpi.com
Modern wind turbines operate in continuously transient conditions, with varying speed,
torque, and power based on the stochastic nature of the wind resource. This variability …

A data-centric machine learning methodology: Application on predictive maintenance of wind turbines

M Garan, K Tidriri, I Kovalenko - Energies, 2022 - mdpi.com
Nowadays, the energy sector is experiencing a profound transition. Among all renewable
energy sources, wind energy is the most developed technology across the world. To ensure …

SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends

R Pandit, D Astolfi, J Hong, D Infield… - Wind …, 2023 - journals.sagepub.com
This paper reviews the recent advancement made in data-driven technologies based on
SCADA data for improving wind turbines' operation and maintenance activities (eg condition …

Condition monitoring systems: a systematic literature review on machine-learning methods improving offshore-wind turbine operational management

IM Black, M Richmond, A Kolios - International Journal of …, 2021 - Taylor & Francis
Information is key. Offshore wind farms are installed with supervisory control and data
acquisition systems (SCADA) gathering valuable information. Determining the precise …

[HTML][HTML] Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm

M Martinez-Luengo, A Kolios, L Wang - Renewable and Sustainable …, 2016 - Elsevier
Offshore Wind has become the most profitable renewable energy source due to the
remarkable development it has experienced in Europe over the last decade. In this paper, a …

AI-driven solutions in renewable energy: A review of data science applications in solar and wind energy optimization

NC Ohalete, AO Aderibigbe, EC Ani… - World Journal of …, 2023 - wjarr.com
This comprehensive review explores the transformative role of artificial intelligence (AI) and
data science in the renewable energy sector, with a particular focus on solar and wind …

Deep Learning for fault detection in wind turbines

G Helbing, M Ritter - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Condition monitoring in wind turbines aims at detecting incipient faults at an early stage to
improve maintenance. Artificial neural networks are a tool from machine learning that is …

Data-driven predictive maintenance of wind turbine based on SCADA data

W Udo, Y Muhammad - IEEE Access, 2021 - ieeexplore.ieee.org
Rystad Energy's analysis shows that installed offshore wind capacity will rise to 27.5 GW in
2026 from 10.5 GW in 2020. This report indicates that increasingly complex maintenance …

Fault diagnosis of wind turbine structures using decision tree learning algorithms with big data

I Abdallah, V Dertimanis, H Mylonas… - Safety and Reliability …, 2018 - taylorfrancis.com
In the context of Operation and Maintenance of wind energy infrastructure, it is important to
develop decision support tools, able to guide engineers in the management of these assets …