Cover
Vol. 18 No. 1 (2022)

Published: June 30, 2022

Pages: 38-47

Original Article

Series and Parallel Arc Fault Detection Based on Discrete Wavelet vs. FFT Techniques

Elaf Abed Saeed 1 Khalid M. Abdulhassan Osama Y. Khudair
1Electrical Engineering Department, University of Basrah, Basrah, Iraq
History
  • Received: October 24, 2021
  • Revised: December 2, 2021
  • Accepted: December 2, 2021
  • Available Online: December 7, 2021
DOI

https://doi.org/10.37917/ijeee.18.1.5

Abstract

Arc problems are most commonly caused by electrical difficulties such as worn cables and improper connections. Electrical fires are caused by arc faults, which generate tremendous temperatures and discharge molten metal. Every year, flames of this nature inflict a great lot of devastation and loss. A novel approach for identifying residential series and parallel arc faults is presented in this study. To begin, arc faults in series and parallel are simulated using a suitable simulation arc model. The fault characteristics are then recovered using a signal processing technique based on the fault detection technique called Discrete Wavelet Transform (DWT), which is built in MATLAB/Simulink. Then came db2, and one level was discovered for obtaining arc-fault features. The suitable mother and level of wavelet transform should be used, and try to compare results with conventional methods (FFT-Fast Fourier Transform). MATLAB was used to build and simulate arc-fault models with these techniques.

Keywords

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