A Smart Sensing Method for Real- Time Monitoring of Low Voltage Series-Arc-Fault

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a smart sensing method for real-time monitoring of low voltage series arc fault. It is based on the wavelet coefficient mean-difference algorithm and the four spikes appearing within two fundamental periods criterion with adaptive threshold. The method also uses the hard thresholding wavelet denoising with the universal threshold. An arc fault factor and a load adaptation factor are introduced and combined with a correction factor, so allowing the selection of the adaptive threshold in real-time and the series arc fault detection.
Original languageEnglish
Title of host publication20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020 - Proceedings
Pages512-516
Number of pages5
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Information Systems and Management
  • Energy Engineering and Power Technology

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