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 t...

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Bibliographic Details
Main Authors: Ortiz-Medina, Raul Arturo, Sanabria-Villamizar, Mauricio, Lopez-Garcia, Irvin, Villalobos-Pina, Francisco Javier, Beltran-Carbajal, Francisco, Maldonado-Ruelas, Victor Arturo
Format: Conference Proceeding
Language:English
Subjects:
detection
Discrete Fourier transforms
Discrete wavelet transforms
fault
Fault detection
Fault diagnosis
Maintenance engineering
Oscillation
Oscillators
reliability
Wind turbines
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Summary: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.
ISSN:2694-393X
DOI:10.1109/CCAC58200.2023.10333368