Fault detection in wind turbine system using wavelet transform: Multi-resolution analysis

In this paper, the wavelet transform theory is used to fault diagnosis for wind turbine benchmark model, considering its characteristics of multi-resolution and thresholds. The paper emphasizes de-noising based on wavelet transform in signal of generated residue in order to detect faults. Executing wavelet transformation, faults in the wind turbine can be detected. We have attempted to show how wavelet transform can be used to detect faults.