Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future
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 …
times. However, wind turbines regularly suffer from operational inconsistencies, leading to …
SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends
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 …
SCADA data for improving wind turbines' operation and maintenance activities (eg condition …
Condition monitoring of wind turbines with the implementation of spatio-temporal graph neural network
J Liu, X Wang, F **e, S Wu, D Li - Engineering Applications of Artificial …, 2023 - Elsevier
Condition monitoring of wind turbines is critical to ensure their long-term stable operation.
With the benefit of deep learning techniques, WTs' health status information can be mined …
With the benefit of deep learning techniques, WTs' health status information can be mined …
Deep learning method for fault detection of wind turbine converter
C **ao, Z Liu, T Zhang, X Zhang - Applied Sciences, 2021 - mdpi.com
The converter is an important component in wind turbine power drive-train systems, and
usually, it has a higher failure rate. Therefore, detecting the potential faults for prediction of …
usually, it has a higher failure rate. Therefore, detecting the potential faults for prediction of …
Applications and modeling techniques of wind turbine power curve for wind farms—A review
In the wind energy industry, the power curve represents the relationship between the “wind
speed” at the hub height and the corresponding “active power” to be generated. It is the most …
speed” at the hub height and the corresponding “active power” to be generated. It is the most …
A human-cyber-physical system toward intelligent wind turbine operation and maintenance
This work proposes a novel concept for an intelligent and semi-autonomous human-cyber-
physical system (HCPS) to operate future wind turbines in the context of Industry 5.0 …
physical system (HCPS) to operate future wind turbines in the context of Industry 5.0 …
[HTML][HTML] Deep anomaly detection in horizontal axis wind turbines using graph convolutional autoencoders for multivariate time series
Wind power is one of the fastest-growing renewable energy sectors instrumental in the
ongoing decarbonization process. However, wind turbines are subjected to a wide range of …
ongoing decarbonization process. However, wind turbines are subjected to a wide range of …
Digital twin modeling for predictive maintenance of gearboxes in floating offshore wind turbine drivetrains
This paper presents a multi-degree of freedom torsional model of drivetrain system as the
digital twin model for monitoring the remaining useful lifetime of the drivetrain components …
digital twin model for monitoring the remaining useful lifetime of the drivetrain components …
Tracking and predicting technological knowledge interactions between artificial intelligence and wind power: Multimethod patent analysis
J Wang, L Cheng, L Feng, KY Lin, L Zhang… - Advanced Engineering …, 2023 - Elsevier
To track the dynamics of AI and wind power technology knowledge interaction and predict
future interaction directions, this study proposes a multiview and multilayer patent analysis …
future interaction directions, this study proposes a multiview and multilayer patent analysis …
[HTML][HTML] SCADA system dataset exploration and machine learning based forecast for wind turbines
Effective short-term wind power forecast is essential for adequate power system stability,
dispatching and cost control. There are various significant renewable energy sources …
dispatching and cost control. There are various significant renewable energy sources …