Spectral Analysis Algorithm for the Diagnosis of Electrical Machines

被引：0
|
作者：
Baranov, Georgii D. [1 ,2 ]
Matus, Konstantin I. [1 ,2 ]
Vaganov, Michail A. [2 ]
Bubnov, Evgeny A. [2 ]
机构：
[1] FSUE Krylov State Res Ctr, Branch Cent Res Inst SET, St Petersburg, Russia
[2] St Petersburg Electrotech Univ LETI, St Petersburg, Russia
来源：
PROCEEDINGS OF THE 2019 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS) | 2019年
关键词：
spectral analysis; FFT; DFT; discrete - time Fourier transform (DTFT); spectral leakage; current harmonics; voltage harmonics; zero extension;
D O I：
10.1109/eiconrus.2019.8657020
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper addresses general issues related to signal analysis with Fourier transform in the context of electrotechnical tasks. A detailed description of relation among continuous Fourier transform, discrete-time Fourier transform (DTFT), and discrete Fourier transform (DFT) is provided. DFT frequency resolution increase methods are compared. Analysis algorithm of DFT results is provided. The algorithm allows increasing the accuracy of identifying harmonic composition of a signal and also revealing closely spaced harmonics that substantially differ in amplitudes.
引用
收藏
页码：424 / 429
页数：6
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