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 …

Abstract Fiber Optic Shape Sensing is an innovative Optical Fiber Sensing Technology that
uses a fiber optic cable to continuously track the 3D shape and position of a dynamic object …

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 …

Fault diagnosis technology is key to the safe and stable operation of wind turbines. An
effective fault diagnosis technology for wind turbines can quickly identify fault types to …

Wind turbine structures are key components for modern transformation into free energy and
greener environment. In recent years, a rapid growth in the development and installation of …

A significant number of wind turbines will reach the end of their planned service life in the
near future. A decision on lifetime extension is complex and experiences to date are limited …

Timely detection of surface damages on wind turbine blades is imperative for minimizing
downtime and avoiding possible catastrophic structural failures. With recent advances in …

As one of the most promising clean energy sources, offshore wind farms (OWFs) have
developed rapidly in countries around the world. However, due to complex weather and …

The current work presents a review of wind turbine reliability studies. Thirteen reliability
studies were identified in the scientific literature, highlighting the lack of public reliability …

Operation and maintenance constitute a substantial share of the lifecycle expenditures of an
offshore renewable energy farm. A noteworthy number of methods and techniques have …