Wind energy has become one of the most important forms of renewable energy. Wind
energy conversion systems are more sophisticated and new approaches are required based …

This paper presents two methods for supporting investments and resource allocation in a
constrained risky environment. These methods are based on the application of logical …

Wind turbines are increasingly installed in cold regions because of better wind resources. In
these regions, high humidity and low temperature in winter increase the risk of ice …

This work explores the application of computer-vision (CV) oriented convolutional neural
networks (CNNs) to the problem of structural damage classification using vibrational-based …

Ice accumulations on structures and rotating blades could introduce significant issues
resulting in structure failure, fatigue load increments, safety hazards, etc. Ice detection and …

The early detection of faults in rotating systems considers an integral approach that has
received considerable attention from the industrial sector, as it contributes to preventing …

Featured Application The results of the research presented in the proposed article in terms
of a novel quick and precise methodology for temperature prediction using numerical …

Wind power is one of the majority sustainable power sources in the world. However, wind
turbine is facing the highly possible blade frozen event on the blade. While numerous ice …

Rotor blade icing negatively affects the operation of wind turbines and its electricity
generation. The ice layer increases the blade masses, influences aerodynamics, and can …

This work demonstrates a technique to identify information about the ice mass accumulation
on wind turbine blades using its natural frequencies, and these frequencies reduce …