The trend in the offshore wind turbine industry is towards using wind turbines with more
energy harvesting capacity per unit and greater power per mass ratios to compete with other …

The difficulty of achieving controlled input has led to the development of new output-only
structural health monitoring (SHM) approaches. Without measuring the input or assuming a …

This paper proposes and tests a sequence-based modeling of deep learning (DL) for
structural damage detection of floating offshore wind turbine (FOWT) blades using Long …

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 …

Abstract In this study, Operational Modal Analysis (OMA) is used to identify the damping
value of the fundamental for-aft (FA) mode of an Offshore Wind Turbine (OWT) using both …

Renewable wind energy is one of the most efficient and effective ways to deal with global
warming and energy crisis. Recently, wind energy has grown at an impressive rate in entire …

In the present study, a structural health monitoring (SHM) method for floating offshore wind
turbines (FOWTs) is suggested and tested using operational modal analysis (OMA) with …

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 …

Structural health monitoring (SHM) has been increasingly exploited in recent years as a
valuable tool for assessing performance throughout the life cycle of structural systems, as …

With the depletion of fossil energy, offshore wind power has become an irreplaceable
energy source for most countries in the world. In recent years, offshore wind power …