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Decriminition between Magnetising Inrush from Interturn Fault Current in Transformer: Hilbert Transform Approach

International Journal of Electrical and Electronics Engineering
© 2014 by SSRG - IJEEE Journal
Volume 1 Issue 10
Year of Publication : 2014
Authors : Rajendra B. Sadaphale, Prof. Anjali U Jawadekar, Dr.S.R.Paraskar
10.14445/23488379/IJEEE-V1I10P101
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How to Cite?

Rajendra B. Sadaphale, Prof. Anjali U Jawadekar, Dr.S.R.Paraskar, "Decriminition between Magnetising Inrush from Interturn Fault Current in Transformer: Hilbert Transform Approach," SSRG International Journal of Electrical and Electronics Engineering, vol. 1,  no. 10, pp. 1-5, 2014. Crossref, https://doi.org/10.14445/23488379/IJEEE-V1I10P101

Abstract:

Transformer protection is a critical issue in power system as issue lies in the accurate and rapid discrimination of magnetizing inrush current from internal fault current. This paper presents a technique to classify inrush current and inter-turn fault current based on Hilbert Transform (HT) and Artificial Neural Network (ANN). A custom-built three-phase transformer is used in the laboratory to collect the data from controlled experiments. Hilbert transform is used as a tool for feature extraction. Envelop are extracted from differential current signal and fourteen statistical parameters are computed from this envelop which are then used input to ANN for classifying of inrush current and fault current.

Keywords:

 Three phase transformer, Inter-turn fault, Inrush current phenomenon, Hilbert Transformation, ANN (Artificial Neural Network).

References:

[1] Moravej, Z., Vishvakarma D. N., and Singh S. P. “Digital filtering algorithms for the differential relaying of power transformer: an over view,” Electric Machines and Power Systems, vol. 28, pp.485-500, 2000.
[2] Monsef, H., and Lotfifard, S. “Internal fault current identification based on wavelet transform in power transformers,” Electric Power System Research, vol. 77 pp. 1637-1645, 2007.
[3] A. Rahmati, and M. Sanaye-Pasand, Senior Member, IEEE, “New Method for Discrimination of Transformers Internal Faults from Magnetizing Inrush Currents Using Wavelet Transform”. 978-1-4244-1762-9/08 C2008 IEEE, from IEEE Xplore.
[4] P.Ganapathi1,K.Bharanidharan2 “ ANN based Discrimination of inrush current and fault current in power transformer”International Electrical Engineering Journal (IEEJ),Vol. 5 (2014) No.4, pp. 1328-1334,ISSN 2078-2365.
[5] Eyad Feilat,E. A. Feilat* and K. Al-Tallaq,“ Eyad Feilat“ Combined Hilbert transform-neural network approach for discrimination between inrush and short-circuit currents”.
[6] Eyad Feilat ,Rahman M.A., Jeyasurya B. A state-of-the-art review of transformer protection. IEEE Trans. Power Delivery. Vol. 3. No. 2. pp. 534-544. 1988.