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

Authors

  • 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

Keywords:

Abstract

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.

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International Journal of Scientific Research in Science and Technology

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Published

2018-01-30

Issue

Volume 4, Issue 3, January-February-2018

Section

Research Articles

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How to Cite

[1]
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), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 3, pp.515-521, January-February-2018.