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Saeed, Abdulhassan & Khudair
modeling technique. The results demonstrate that this model
is capable of accurately reflecting the features of real-world
series and parallel arc faults. This paper shows the current
and voltage waveforms of arc faults in circuits with purely
resistive loads and it was discovered that arc faults have
distinct characteristics in their present arc. A discrete
wavelet transform of the arc current waveform was used; it
is capable of accurately determining the arc fault moment.
The frequency responses of the respective filter banks were
analyzed for wavelet analysis using the best mother wavelet
and appropriate number of levels. After that, the results are
utilized to compare the signal's FFT and discrete wavelet
techniques. Therefore, the frequency analysis of stationary
signals is done with FFT, which uses a fixed window and
does not find the moment when the arc starts, and the
amplitude harmonic of current is extremely low when the
circuit is operating normally, as seen by FFT results. When
an arc fault occurs, however, the current spectrum's
amplitude rises. The discrete wavelet analysis performs
much better than the traditional Fourier transform approach
because it provides a flexible time-frequency grid to analyze
signals whose spectral content changes over time, and it uses
a variable window to locate the time when the arc is initiated. [12] ZHANG Zhao-Ning, MAO Peng. "Singularity
CONFLICT OF INTEREST
The authors have no conflict of relevant interest to this
article.
REFERENCES
[1] Fire Safe Europe, FSEU publications, 2019,
https://firesafeeurope.eu/fseupublications/, online,
accessed: 11.05.2019.
[2] G. D. Gregory and G. W. Scott, "The arc-fault circuit
interrupter: an emerging product," in IEEE Transactions on
Industry Applications, vol. 34, no. 5, pp. 928-933, Sept.-
Oct. 1998. doi: 10.1109/28.720431.
[3] H. Cheng, X. Chen, F. Liu and C. Wang, "Series Arc
Fault Detection and Implementation Based on the Short-
time Fourier Transform," 2010 Asia-Pacific Power and
Energy Engineering Conference, Chengdu, China, 2010,
pp. 1-4. doi: 10.1109/APPEEC.2010.
[4] M. H. Riza Alvy Syafi’i, E. Prasetyono, M. K. Khafidli,
D. O. Anggriawan and A. Tjahjono, "Real Time Series DC
Arc Fault Detection Based on Fast Fourier
Transform," 2018 International Electronics Symposium on
Engineering Technology and Applications (IES-ETA), Bali,
Indonesia, 2018, pp. 25-30. doi:
10.1109/ELECSYM.2018.8615525.
[5] M. Naidu, T. J. Schoepf and S. Gopalakrishnan, "Arc
fault detection scheme for 42-V automotive DC networks
using current shunt," in IEEE Transactions on Power
Electronics, vol. 21, no. 3, pp. 633-639, May 2006. doi:
10.1109/TPEL.2006.872385.
[6] N. Zamanan, J. Sykulski, and A. K. Al-Othman,
“Arcing high impedance fault detection using real coded
genetic algorithm,” Japan, Aug. 20–21, 2007, pp. 197–
203.
| 47
[7] I. Khan and M. Critchley, “Arc fault detector,” 2000,
vol. 25, no. 3, pp. 1–4. http://ebookbrowse.com/arc-fault-
detector-paper-pdf-d245318580.
[8] J. L. Guardado, S. G. Maximov, E. Melgoza, J. L. Naredo
and P. Moreno, "An improved arc model before current
zero based on the combined Mayr and Cassie arc models,"
in IEEE Transactions on Power Delivery, vol. 20, no. 1, pp.
138-142, Jan. 2005. doi: 10.1109/TPWRD.2004.837814.
[9] Q. Yin and R. Ding, “Review of Arc Models in
Distribution Networks,” matec web of conferences 61,
02016 (2016). doi: 10.1051/MATCE.
[10] K. Koziy, B. Gou and J. Aslakson, "A Low-Cost
Power-Quality Meter with Series Arc-Fault Detection
Capability for Smart Grid," in IEEE Transactions on
Power Delivery, vol. 28, no. 3, pp. 1584-1591, July 2013.
doi: 10.1109/TPWRD.2013.2251753.
[11] R. Yu et al., "Modeling and simulation analysis of
single-phase arc grounding fault based on
MATLAB," Proceedings of 2011 International
Conference on Electronic & Mechanical Engineering and
Information Technology, Harbin, China, 2011, pp. 4607-
4610. doi: 10.1109/EMEIT.2011.6024001.
detection of fault transient signals in power system with
wavelet transforms," Relay, vol. 28, no. 4, pp. 24-27, 2000.
[13] J.W. Cooley and J.W. Tukey. An algorithm for the
machine calculation of complex Fourier series. Math.
Compute, Vol. 19, pp. 297–301, April 1965.
[14] Wavelet Toolbox User’s Guide for MATLAB,
Version 1, MathWorks 2009.
[15] I. Daubechies, “The wavelet transforms, time-
frequency localization and signal analysis,” IEEE
Transactions Information Theory, vol. 36, no. 5, pp. 961–
1005, Sep. 1990.
[16] Sadiq I. Hassan, Adil A. Obed, and Khalid M. Abdul-
Hassan, “Practical implementation for stator faults
Protection and diagnosis in 3-ph IM based on WPT and
neural network,” The International Journal of Engineering
and Science (IJES), Vol. 5, 2016, pp. 52-67.
[17] Michel Misti, Yves Misti, “Georges Oppenheim, and
Jean-Michel Poggi, “Wavelet Toolbox,“ User’s Guide,
Math Works, July 2004.
[18] A.V. Oppenheim and R.W. Schafer. Discrete-Time
Signal Processing. Prentice Hall, 1989.
[19] Ramirez, Rober W., "The FFT: Fundamental and
Concept", Textronic Inc, Oregon, 1975.