Fourier, Wavelet, and Hilbert-Huang Transforms for Studying Electrical Users in the Time and Frequency Domain

被引：20

作者：

Puliafito, Vito ^{[1
]}

Vergura, Silvano ^{[2
]}

Carpentieri, Mario ^{[2
]}

机构：

[1] Univ Messina, Dept Engn, I-98166 Messina, Italy

[2] Polytech Univ Bari, Dept Elect & Informat Engn, Via E Orabona 4, I-70125 Bari, Italy

来源：

ENERGIES | 2017年 / 10卷 / 02期

关键词：

non-stationary signal; time-frequency analysis; power quality; wavelet; Hilbert-Huang transform; EMPIRICAL MODE DECOMPOSITION; POWER; COMPRESSION; FORMS;

D O I：

10.3390/en10020188

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The analysis of electrical signals is a pressing requirement for the optimal design of power distribution. In this context, this paper illustrates how to use a variety of numerical tools, such as the Fourier, wavelet, and Hilbert-Huang transforms, to obtain information relating to the active and reactive power absorbed by different types of users. In particular, the Fourier spectrum gives the most important frequency components of the electrical signals, and the wavelet analysis highlights the non-stationarity of those frequency contributions, whereas the Hilbert-Huang transform, by means of the Empirical Mode Decomposition, provides a more complete spectrum of frequencies.

引用

页数：14

共 33 条

[1] Analysis of Nonstationary Power-Quality Waveforms Using Iterative Hilbert Huang Transform and SAX Algorithm [J].