A CUSUM-Based Approach for Condition Monitoring and Fault Diagnosis of Wind Turbines

Online Nonintrusive Condition Monitoring and Fault Detection for Wind Turbines

Fault Diagnosis Methods for Wind Turbines Health Monitoring: a Review

Recently, the rapid expansion of wind energy activity has led to an increasing number of publications that deal with wind turbine health monitoring. In real practice, implementing a prognostics and health management (PHM) strategy for wind turbines is challenging. Indeed, wind turbines are complex electro-mechanical systems that often work under rapidly changing environment and operating load c...

Advanced Algorithms for Wind Turbine Condition Monitoring and Fault Diagnosis

The work undertaken in this research focuses on advanced condition monitoring and fault detection methods for wind turbines (WTs). Fourier Transform (FFT) and Short Time Fourier transform (STFT) algorithms are proposed to effectively extract fault signatures in generator current signals (GCS) for WT fault diagnosis. With this aim, a WT model has been implemented in the MATLAB/Simulink environme...

Sensor Fault Diagnosis of Wind Turbines for Fault Tolerant

This paper aims at the blade root moment sensor fault detection and isolation issue. The underlying problem is crucial to the successful application of the individual pitch control system which plays a key role for reducing the blade loads of large offshore wind turbines. In this paper, a wind turbine model is built based on the closed loop identification technique, where the wind dynamics is i...

Wind Turbine Condition Monitoring and Fault Diagnosis using Wavelet Transforms

Some large wind turbines use a synchronous generator directly-coupled to the turbine. This paper considers condition monitoring and diagnosis of mechanical and electrical faults in such a variable speed machine. The application of wavelet transforms is investigated because of the disadvantages of conventional spectral techniques in processing instantaneous turbine signals. In this paper a new c...