Wavelet and Hilbert Huang Transforms Applied to Park’s Vector for Fault Detection in a PMSG Wind Turbine

This article is a novel technique for the maintenance of machines, specifically in wind turbines. The technique proposes a fault detection method, identifying the pattern frequencies of the disturbance mode. This methodology is carried out with the Discrete Fourier Transform, Wavelet Transform and the Hilbert-Huang Transform, making the comparison in the described case. On the other hand, the methodology shows us the frequencies detected by each technique and the differences between them.