The Wavelet Analysis in the Application of the Traction Substation Feeder Current Analysis

DOI

10.2991/ap3er-15.2015.103How to use a DOI?

Keywords

wavelet analysis; Fourier analysis; filtering; MATLAB wavelet toolbox; feeder current.

Abstract

This paper is with the purpose of catastrophe point identification and comparison between wavelet analysis and Fourier analysis on their effects of filtering, and apply it into the analysis of traction substation feeder current. First, we assess the differences between wavelet analysis and Fourier analysis by doing these two analyses to the ideal noise signal; and then we study the best conditions of using wavelet analysis and wavelet filtering conditions through the experiment using MATLAB and wavelet toolbox to explore the methods; last, we adopt the method that combining FFT analysis and wavelet analysis to analyze the traction substation feeder current. The simulation shows that wavelet analysis can recognize the breakpoints' location of signal, while Fourier analysis can't. The effects of wavelet filtering are better than Fourier analysis, while FFT can analyze the content of harmonic wave in signal. This paper also provides an example for fusion of science and education.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Songwei Huang
AU  - Huawei Li
AU  - Yujie Chang
AU  - Mingli Wu
AU  - Jinghan He
AU  - Jianjun Xu
PY  - 2015/06
DA  - 2015/06
TI  - The Wavelet Analysis in the Application of the Traction Substation Feeder Current Analysis
BT  - Proceedings of the 2015 Asia-Pacific Energy Equipment Engineering Research Conference
PB  - Atlantis Press
SP  - 437
EP  - 441
SN  - 2352-5401
UR  - https://doi.org/10.2991/ap3er-15.2015.103
DO  - 10.2991/ap3er-15.2015.103
ID  - Huang2015/06
ER  -