Publication result detail

Finding the Fault Inception Time Using Wavelet Transform

BUKVIŠOVÁ, Z.

Original Title

Finding the Fault Inception Time Using Wavelet Transform

English Title

Finding the Fault Inception Time Using Wavelet Transform

Type

Paper in proceedings (conference paper)

Original Abstract

This paper deals with the transient detection method utilizing the wavelet transform, which proved to be more suitable for this purpose than the Fourier transform. The aim of this work is to analyze data, obtained from the power network model created in PSCAD software, and to determine the time of the fault inception. This calculated time is then compared with the actual fault inception time set in the model. The results show that the wavelet analysis can successfully detect all tested faults.

English abstract

This paper deals with the transient detection method utilizing the wavelet transform, which proved to be more suitable for this purpose than the Fourier transform. The aim of this work is to analyze data, obtained from the power network model created in PSCAD software, and to determine the time of the fault inception. This calculated time is then compared with the actual fault inception time set in the model. The results show that the wavelet analysis can successfully detect all tested faults.

Keywords

wavelet transform; transient analysis; travelling waves

Key words in English

wavelet transform; transient analysis; travelling waves

Authors

BUKVIŠOVÁ, Z.

RIV year

2019

Released

25.04.2019

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Location

Brno

ISBN

978-80-214-5735-5

Book

Proceedings of the 25 th Conference STUDENT EEICT 2019

Pages from

654

Pages to

658

Pages count

5

URL

http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2019_sbornik.pdf

BibTex

@inproceedings{BUT156722,
  author="Zuzana {Bukvišová}",
  title="Finding the Fault Inception Time Using Wavelet Transform",
  booktitle="Proceedings of the 25 th Conference STUDENT EEICT 2019",
  year="2019",
  number="1",
  pages="654--658",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-5735-5",
  url="http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2019_sbornik.pdf"
}