Detection of inrush current using Wavelet Transform and Artificial Neural Network (ANN)

Authors(5) :-Swapnil Misal, Avesh Siddhique, Zeenat Sheikh, Vivian wasnik, Dr Altaf Badar

Transformer Starting current’s initial cycle i.e inrush currents are high magnitude, harmonic-rich currents generated when transformer cores are driven into saturation during energization. In this paper an effective method of detecting of inrush current in distribution transformer based on wavelet transform is presented. Using this method inrush current can be distinguished from other currents. Inrush current data and other transients are obtained by simulation using MATLAB. Results show that the proposed procedure is efficient in identifying inrush current from other events.

Authors and Affiliations

Swapnil Misal
Student ,Anjuman college of Engineering & Technology, Nagpur, Maharashtra, India
Avesh Siddhique
Student ,Anjuman college of Engineering & Technology, Nagpur, Maharashtra, India
Zeenat Sheikh
Student ,Anjuman college of Engineering & Technology, Nagpur, Maharashtra, India
Vivian wasnik
Student ,Anjuman college of Engineering & Technology, Nagpur, Maharashtra, India
Dr Altaf Badar
Electrical Department , Anjuman college of Engineering & Technology , Nagpur, Maharashtra, India

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Publication Details

Published in : Volume 4 | Issue 3 | January-February 2018
Date of Publication : 2018-01-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 515-521
Manuscript Number : NCAEAS4404
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Swapnil Misal, Avesh Siddhique, Zeenat Sheikh, Vivian wasnik, Dr Altaf Badar, " Detection of inrush current using Wavelet Transform and Artificial Neural Network (ANN), International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 3, pp.515-521, January-February-2018. Available at doi : 10.32628/NCAEAS4404
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