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

被引：2

作者：

Arturo Ortiz-Medina, Raul ^{[1
]}

Sanabria-Villamizar, Mauricio ^{[2
]}

Lopez-Garcia, Irvin ^{[2
]}

Javier Villalobos-Pina, Francisco ^{[3
]}

Beltran-Carbajal, Francisco ^{[1
,2
]}

Arturo Maldonado-Ruelas, Victor ^{[1
]}

机构：

[1] Univ Politecn Aguascalientes, Dept Postgrad & Res, Aguascalientes, Aguascalientes, Mexico

[2] Univ Autonoma Metropolitana, Dept Energy, Mexico City, DF, Mexico

[3] Inst Tecnol Aguascalientes, Dept Elect Engn, Aguascalientes, Aguascalientes, Mexico

来源：

2023 IEEE 6TH COLOMBIAN CONFERENCE ON AUTOMATIC CONTROL, CCAC | 2023年

关键词：

Oscillation; fault; detection; reliability; SHORT-CIRCUIT FAULT;

D O I：

10.1109/CCAC58200.2023.10333368

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：325 / 330

页数：6

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