Recognition of partial discharge pattern of electrode voids by neural network

Takashi Yanagisawa, Shinichi Iwamoto, Tatsuki Okamoto, Hiromasa Fukagawa

    Research output: Contribution to journalArticle


    A back-propagation neural network model is used to identify electrode types involved in partial discharge (tree, IEC (b), CIGRE method I) and to estimate the shapes of the cylindrical electrode voids, based on the specific charge-phase characteristics of the different electrode types.

    Original languageEnglish
    Pages (from-to)110-116
    Number of pages7
    JournalElectrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
    Issue number2
    Publication statusPublished - 1992


    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

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