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 …
A comprehensive analysis of wind turbine blade damage
The scope of this article is to review the potential causes that can lead to wind turbine blade
failures, assess their significance to a turbine's performance and secure operation and …
failures, assess their significance to a turbine's performance and secure operation and …
Condition monitoring of wind turbines with the implementation of spatio-temporal graph neural network
J Liu, X Wang, F Xie, 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 …
A feature extraction and machine learning framework for bearing fault diagnosis
Wind power generation has been widely adopted due to its renewable nature and
decreasing capital cost per kW. However, existing equipment ages rapidly, leading to higher …
decreasing capital cost per kW. However, existing equipment ages rapidly, leading to higher …
In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures
Blades are critical components in wind turbines (WTs) for power generation, and condition
monitoring (CM) of WT blades is a crucial and challenging issue under operating conditions …
monitoring (CM) of WT blades is a crucial and challenging issue under operating conditions …
Applications of K-nearest neighbor algorithm in intelligent diagnosis of wind turbine blades damage
Y Tang, Y Chang, K Li - Renewable Energy, 2023 - Elsevier
Heavy losses in the wind power generation system are incurred when the wind turbine
blades are severely damaged beyond repair. Therefore, an immediate repair at an initial …
blades are severely damaged beyond repair. Therefore, an immediate repair at an initial …
A Bayesian approach for fatigue damage diagnosis and prognosis of wind turbine blades
F Jaramillo, JM Gutiérrez, M Orchard, M Guarini… - … Systems and Signal …, 2022 - Elsevier
This paper proposes a Bayesian framework based on particle filters for online fatigue
damage diagnosis and prognosis for wind turbine blades (WTBs). The framework integrates …
damage diagnosis and prognosis for wind turbine blades (WTBs). The framework integrates …
Intelligent condition monitoring of wind power systems: State of the art review
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 …
torque, and power based on the stochastic nature of the wind resource. This variability …
Structural health monitoring of carbon fiber reinforced polymer composite laminates for offshore wind turbine blades based on dual maximum correlation coefficient …
K Luo, L Chen, W Liang - Renewable Energy, 2022 - Elsevier
Structural health monitoring (SHM) of offshore wind turbine blades (OWTBs) is critical to the
safety of wind turbines, which can avoid catastrophic failures and reduce offshore wind …
safety of wind turbines, which can avoid catastrophic failures and reduce offshore wind …
A survey on non-destructive smart inspection of wind turbine blades based on industry 4.0 strategy
M Dimitrova, A Aminzadeh, MS Meiabadi… - Applied …, 2022 - mdpi.com
Wind turbines are known to be the most efficient method of green energy production, and
wind turbine blades (WTBs) are known as a key component of the wind turbine system, with …
wind turbine blades (WTBs) are known as a key component of the wind turbine system, with …