Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms
(MHOAs) have gained many attentions from researchers all over the world due to their …

This study employs the Shanghai Environment and Energy Exchange as a case study to
investigate the effects of blockchain technology applications on transaction prices within the …

With the wide application of wind energy as a clean energy source, to cope with the
challenge of increasing maintenance difficulty brought about by the development of large …

Assessing the vibration signature produced by a rotating component of the wind turbine
enables the identification of operational conditions and the detection of potential faults at an …

Anomalies in wind turbines pose significant risks of costly downtime and maintenance,
underscoring the importance of early detection for reliable operation. However, conventional …

This paper presents a novel methodology for detecting faults in wind turbine blades using
computational learning techniques. The study evaluates two models: the first employs …

Wind energy is now one of the most important alternative sources of renewable energy. The
development of wind power generation is a prerequisite to meet environmental and …

Wind energy production relies heavily on the efficiency of wind turbine systems. The routine
condition monitoring and maintenance of these systems are necessary to maintain healthy …

Rotary machines are crucial to various industrial and renewable energy applications such
as wind turbines, and their efficient operation is vital for maintaining productivity of energy …

The need to anticipate failures in wind turbines has become increasingly urgent. The
exponential increase in the number of installed turbines, coupled with the aging of the …