Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …

Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

This paper reviews the recent literature on machine learning (ML) models that have been
used for condition monitoring in wind turbines (eg blade fault detection or generator …

In recent decades, renewable energy has attracted attention as a viable energy supply.
Among renewable energy sources, offshore wind energy has been considerably growing …

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 …

An image recognition model based on a deep learning network is proposed for the
automatic extraction of image features and the accurate and efficient detection of wind …

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 …

Operation and maintenance (O&M) activities represent a significant share of the total
expenditure of a wind farm. Of these expenses, costs associated with unexpected failures …

Online early detection of surface damages on blades is critical for the safety of wind turbines,
which could avoid catastrophic failures, minimize downtime, and enhance the reliability of …

With the increase in the installed capacity of wind power systems, the fault diagnosis and
condition monitoring of wind turbines (WT) has attracted increasing attention. In recent …