Application of K-Means method to pattern recognition in on-line cable partial discharge monitoring

Xiaosheng Peng, Chengke Zhou, Donald Hepburn, Martin Judd, W H Siew

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    Abstract

    On-line Partial Discharge (PD) monitoring is being increasingly adopted in an effort to improve asset management of the vast network of MV and HV power cables. This paper presents a novel method for autonomous recognition of PD patterns recorded under conditions in which a phase-reference voltage waveform from the HV conductors is not available, as is often the case in on-line PD based insulation condition monitoring. The paper begins with an analysis of two significant challenges for automatic PD pattern recognition. A methodology is then proposed for applying the K-Means method to the task of recognizing PD patterns without phase reference information.
    Original languageEnglish
    Pages (from-to)754-761
    Number of pages8
    JournalIEEE Transactions on Dielectrics and Electrical Insulation
    Volume20
    Issue number3
    DOIs
    Publication statusPublished - Jun 2013

    Keywords

    • pattern recognition
    • PD patterns
    • K-Means

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