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 …

Bearings are crucial components that decide whether or not a wind turbine can work
smoothly and that have a significant impact on the transmission efficiency and stability of the …

Predictive maintenance is one of the most promising ways to reduce the operation and
maintenance (O&M) costs of wind turbines (WTs). Remaining useful life (RUL) prediction is …

Offshore wind farms are a rapidly develo** source of clean, low-carbon energy and as
they continue to grow in scale and capacity, so does the requirement for their efficient and …

The analysis of reliable studies helps to identify the credibility, scope, and limitations of
various techniques for condition monitoring of a wind turbine (WT) system's design and …

Accurate predictions for remaining useful life (RUL) of wind turbine drivetrains are crucial in
reducing downtime, optimising maintenance strategies, extending operational life and …

Offshore Wind Power Systems (OWPS) offer great energy and environmental advantages,
but also pose significant Operation and Maintenance (O&M) challenges. In this survey, we …

In this paper, we propose using particle swarm optimization (PSO) which can improve
weighted k-nearest neighbors (PWKNN) to diagnose the failure of a wind power system …

Renewable energy is now in high demand due to the deterioration of the global climate and
the depletion of conventional sources. Renewable energy sources (RES) such as wind and …

This work is focused on the realization of a low-complexity MobileNet neural network able to
classify different bearing failure vibration signals. The network was designed to be deployed …