High-impedance fault detection utilizing a Morlet wavelet transform approach

Shyh Jier Huang, Cheng Tao Hsieh

Research output: Contribution to journalArticlepeer-review

141 Citations (Scopus)

Abstract

An application of Morlet wavelets to the analysis of high-impedance fault generated signals is proposed in this paper. With the time-frequency localization characteristics embedded in wavelets, the time and frequency information of a waveform can be presented as a visualized scheme. Different from the fast Fourier transform, the wavelet transform approach is more efficient in monitoring fault signals as time varies. The proposed method has been applied to discriminate the high-impedance faults from the normal switching events, and to examine the faults under various grounds including Portland cement, wet soil and grass. Testing results have demonstrated the practicality and advantages of the proposed method for the applications.

Original languageEnglish
Pages (from-to)1401-1407
Number of pages7
JournalIEEE Transactions on Power Delivery
Volume14
Issue number4
DOIs
Publication statusPublished - 1999 Dec 1

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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