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 …

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 …

In aerospace engineering, many additive manufacturing (AM) metal parts subject to fatigue
loadings, resulting in their fatigue failure. Therefore, it is essential to develop an advanced …

Based on the results of research in physical asset management, Maintenance,
Replacement, and Reliability: Theory and Applications introduces students to the tools for …

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 …

Prognosis and health management plays an important role in the control of costs associated
with operating large industrial equipment, such as wind turbines and aircraft. It is only fair …

Safety assessment of post-event damaged structures is vital and significant because it
directly affects life security, structural repair, and economic loss, especially in earthquakes …

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 …

The development of a viable structural health monitoring (SHM) technology for the
operational condition monitoring of wind turbine blades is of great interest to the wind …

The main objective of the proposed research study is to discriminate different blade fault
conditions which affect the wind turbine blades under operating condition through machine …