DSP wavelet-based tool for monitoring transformer inrush currents and internal faults

A. M. Gaouda, M. M.A. Salama

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)

Abstract

This paper proposes a wavelet-based technique for monitoring nonstationary variations in order to distinguish between transformer inrush currents and transformer internal faults. The proposed technique utilizes a small set of coefficients of the local maxima that represent most of the signal's energy: only one coefficient at each resolution level is utilized to measure the magnitude of the variation in the signal. The data is processed while sliding through a Kaiser window and the technique has been applied in the laboratory as well as with simulated data, producing excellent results.

Original languageEnglish
Article number5475361
Pages (from-to)1258-1267
Number of pages10
JournalIEEE Transactions on Power Delivery
Volume25
Issue number3
DOIs
Publication statusPublished - Jul 2010

Keywords

  • Inrush current
  • Kaiser window
  • internal faults
  • multiresolution analysis
  • transformer
  • wavelet transform

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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