Operations and installation on offshore wind and especially floating are complex and difficult
actions due to site accessibility and equipment availability. In this regard, digitalization is …

The rapid expansion of installed wind energy capacity and the continuous development of
wind turbine technology has drawn attention to operation and maintenance issues. In order …

Condition monitoring and fault detection for wind turbines (WTs) can effectively lower the
effect of failures. A large amount of data would be generated during the operation of WTs …

Deep learning has achieved remarkably positive results and impacts on medical diagnostics
in recent years. Due to its use in several proposals, deep learning has reached sufficient …

Turbine blisk is one of the typical components of gas turbine engines. The fatigue life of
turbine blisk directly affects the reliability and safety of both turbine blisk and aeroengine …

Recurrent neural network (RNN) is one of the most used deep learning techniques in fault
detection and diagnosis (FDD) of industrial systems. However, its implementation suffers …

As an important component in rotating machines, gearbox failure will lead to costly
economic losses. Generally, incipient fault features of gearbox are weak and concealed in a …

Wind energy (WE) is one of the most important technology to produce energy and an
efficient source of renewable energy (RE) available in the atmospheric environment due to …

Actual wind farms usually perform condition monitoring of wind turbines based on simple
trigger logic, which often have high false alarm rates and overlapping warnings. Supervisory …

In recent years, intelligent fault detection methods have achieved dramatic results for wind
power generation. However, a majority of the available intelligent detected methods can …