Enhanced segmentation of disturbance records by adaptive thresholding

Philipp Stachel, Rastko Živanović, Peter Schegner

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

7 Citations (Scopus)

Abstract

To analyse power system fault events captured by disturbance recorders the sampled analogue waveforms (voltages and currents) have to be segmented into system states (pre-fault, fault,...). In this paper a combination of wavelet transform (WT) and linear prediction coding (LPC) is applied to the symmetrical space phasor signals of the voltage and current waveforms. The signals obtained contain impulses when the system state changes abruptly. A threshold for segmentation is calculated using median filtering with adaptive window length. The segment borders are finally merged and validated.

Original languageEnglish
Title of host publication16th Power Systems Computation Conference, PSCC 2008
PublisherPower Systems Computation Conference ( PSCC )
ISBN (Electronic)9780947649289
Publication statusPublished - 2008
Externally publishedYes
Event16th Power Systems Computation Conference, PSCC 2008 - Glasgow, United Kingdom
Duration: 14 Jul 200818 Jul 2008

Publication series

Name16th Power Systems Computation Conference, PSCC 2008

Conference

Conference16th Power Systems Computation Conference, PSCC 2008
CountryUnited Kingdom
CityGlasgow
Period14.07.200818.07.2008

Keywords

  • Adaptive techniques
  • Digital signal processing
  • Linear prediction coding
  • Median filters
  • Segmentation
  • Wavelet transform

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