Signal segmentation of fault records based on Empirical Mode Decomposition

Mustarum Musaruddin, Rastko Zivanovic

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

6 Citations (Scopus)

Abstract

This paper describes an application of the Empirical Mode Decomposition (EMD) technique in signal segmentation of fault records. The segmentation is important pre-processing step required for automated analysis of data recorded during faults on transmission lines. The proposed technique achieves reliable and automated segmentation of three-phase voltage and current signals in pre-fault, fault and fault-cleared stationary signal segments. The proposed EMD segmentation technique has been tested using practical disturbance records and representative results are presented in this paper.

Original languageEnglish
Title of host publicationTENCON 2011 - 2011 IEEE Region 10 Conference
Subtitle of host publicationTrends and Development in Converging Technology Towards 2020
Pages138-143
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 - Bali, Indonesia
Duration: 21 Nov 201124 Nov 2011

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Conference

Conference2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011
Country/TerritoryIndonesia
CityBali
Period21.11.201124.11.2011

Keywords

  • Automated Fault Analysis
  • Empirical Mode Decomposition
  • Signal Segmentation
  • Transmission Line

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