The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …

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 …

In recent years, with the development of wind energy, the number and scale of wind farms
have been developing rapidly. Since offshore wind farms have the advantages of stable …

This work presents the evolution of a solution for predictive maintenance to a Big Data
environment. The proposed adaptation aims for predicting failures on wind turbines using a …

New wind turbine technologies and designs are being explored in order to reduce the cost
of energy from offshore wind farms. Two potential routes to a lower cost of energy are the X …

Wind turbine structures have become increasingly popular due to global trends in
renewable energy policies. However, more than 3800 failures are reported annually, and …

This paper reviews the state of the art in offshore wind farm operations and maintenance
with a focus on decision support models for the scheduling of maintenance. Factors …

Critical mechanical faults in wind turbine systems lead to considerable downtime and repair
costs. Improving the detection and diagnosis of such faults thus brings about significant cost …

The example systems, methods, and devices disclosed herein generally relate to performing
predictive analytics on behalf of wind turbines. In some instances, a data-analytics platform …

Abstract Machine learning is developing very quickly in the healthcare field in the field's
diagnostics, therapy and caring of patients and new drug development. Machine learning …