Recognition of partial discharge pattern of electrode voids by neural network

Takashi Yanagisawa, Shinichi Iwamoto, Tatsuki Okamoto, Hiromasa Fukagawa

    Research output: Contribution to journalArticlepeer-review

    Abstract

    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)
    Volume112
    Issue number2
    Publication statusPublished - 1992

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    Fingerprint Dive into the research topics of 'Recognition of partial discharge pattern of electrode voids by neural network'. Together they form a unique fingerprint.

    Cite this