Wind energy has seen great development during the past decade. However, wind turbine
availability and reliability, especially for offshore sites, still need to be improved, which …

Wind turbines are playing an increasingly important role in renewable power generation.
Their complex and large-scale structure, however, and operation in remote locations with …

Abstract Fault Detection and Diagnosis (FDD) for overall modern Wind Energy Conversion
(WEC) systems, particularly its converter, is still a challenge due to the high randomness to …

Operation and maintenance activities, considering condition monitoring systems, are
necessary to ensure the reliability of wind turbines, but provide complex and large amounts …

In this paper, a robust data-driven fault detection approach is proposed with application to a
wind turbine benchmark. The main challenges of the wind turbine fault detection lie in its …

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 …

Wind turbines are increasingly growing larger, becoming more complex, and being located
in more remote locations, especially offshore. Interest in advanced controllers for normal …

In this paper, observer-based FDI schemes for wind turbines are proposed. This study is
based on the benchmark model presented in Odgaard et al.[2009a]. For residual generation …

Renewable energy sources like wind energy are widely available without any limitation.
Reliability of wind turbine is crucial in extracting the maximum amount of energy from the …

This paper describes the design of an active fault‐tolerant control scheme that is applied to
the actuator of a wind turbine benchmark. The methodology is based on adaptive filters …