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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …