Wavelets for the analysis and compression of partial discharge data

X. Ma, C. Zhou, I. J. Kemp

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

    7 Citations (Scopus)

    Abstract

    One of the major problems encountered in the on-line condition monitoring of partial discharges for high voltage plant items is the huge volume of memory required to store PD data. This paper proposes wavelet-based and wavelet packet-based compression methods for PD measurement data, which are performed through wavelet decomposition, detail coefficient thresholding and signal reconstruction. All of the compression methods associated with these strategies are treated and the compression results as applied to practical PD data are compared. Using this technique in conjunction with the transitional compression method, it has been demonstrated that data from partial discharge activity can be compressed to approximately 5% of its original volume, which is very promising for practical on-line condition monitoring.
    Original languageEnglish
    Title of host publication2001 Annual Report Conference on Electrical Insulation and Dielectric Phenomena
    PublisherIEEE
    Pages329-334
    Number of pages6
    ISBN (Electronic)0780370546
    ISBN (Print)0780370538
    DOIs
    Publication statusPublished - 2001
    Event2001 Conference on Electrical lnsulation and Dielectric Phenomena - Four Points Hotel, Kitchener, Canada
    Duration: 14 Oct 202317 Oct 2023
    Conference number: 01CH37225

    Publication series

    NameConference on Electrical Insulation and Dielectric Phenomena (CEIDP) - Annual Report
    ISSN (Print)0084-9162

    Conference

    Conference2001 Conference on Electrical lnsulation and Dielectric Phenomena
    Abbreviated titleCEIDP 2001
    Country/TerritoryCanada
    CityKitchener
    Period14/10/2317/10/23

    ASJC Scopus subject areas

    • Building and Construction
    • Industrial and Manufacturing Engineering
    • Electrical and Electronic Engineering

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