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 …

Blades play a vital role in wind turbine system performances. However, they are susceptible
to damage arising from complex and irregular loading or even cause catastrophic collapse …

A short overview of composite materials for wind turbine applications is presented here.
Requirements toward the wind turbine materials, loads, as well as available materials are …

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 …

Signal processing is one of the essential components in vibration-based approaches and
damage detection for structural health monitoring. Since signals in the real world are often …

With global warming and the depletion of fossil energy sources, renewable energy is
gradually replacing non-renewable energy as the main energy in the future. As one of the …

In this article, a feasibility study has been carried out in order to detect structural faults in the
blade by analyzing the tower vibration. A 5-MW onshore wind turbine was modeled using …

This paper presents the variation of identified modal parameters of an offshore wind turbine
(OWT) over one year of continuous monitoring. The considered OWT is a Haliade 150–6 …

In the current state of development, it is very hard to remotely evaluate the actual condition of
wind turbines structures. This makes it impossible for a wind farm owner to correctly …

High-frequency electromechanical impedance measured from the piezoelectric transducer
has been recognized as an effective indicator to infer minor damage occurrence. Over the …