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
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Citation:
MLA Style:

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 1.10 (2014): 1-5.

APA Style:

Rajendra B. Sadaphale, Prof. Anjali U Jawadekar, Dr.S.R.Paraskar,(2014). Decriminition between Magnetising Inrush from Interturn Fault Current in Transformer: Hilbert Transform Approach. SSRG International Journal of Electrical and Electronics Engineering 1.(10), 1-5.

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.

References:

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Key Words:

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