Wind energy is contributing to more and more portions in the world energy market. However,
one deterrent to even greater investment in wind energy is the considerable failure rate of …

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 turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …

The main roles of fault detection and diagnosis (FDD) for industrial processes are to make
an effective indicator which can identify faulty status of a process and then to take a proper …

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 a comprehensive study on the state-of-the-art and emerging wind
energy technologies from the electrical engineering perspective. In an attempt to decrease …

This paper presents the state-of-the-art technologies and development trends of wind
turbine drivetrains–the system that converts kinetic energy of the wind to electrical energy–in …

This paper describes the development of a fault detection and diagnosis method to
automatically identify different fault conditions of a hydraulic blade pitch system in a spar …

The ever increasing size of wind turbines and the move to build them offshore have
accelerated the need for optimised maintenance strategies in order to reduce operating …

The all-relevant problem of feature selection is the identification of all strongly and weakly
relevant attributes. This problem is especially hard to solve for time series classification and …