Partial discharge pattern recognition for three kinds of model electrodes with a neural network

T. Okamoto, T. Tanaka

研究成果: Article

14 引用 (Scopus)

抜粋

The paper describes a method of recognizing partial discharge characteristics for three kinds of electrode systems. The method uses a neural network system with input signal of φ-q-n distribution patterns. The φ-q-n distribution consists of the pulse count [n] versus pulse height [q] and phase angle [φ]. The learning characteristics and recognition characteristics of the neural network were investigated. The basic characteristics of recognition capability for combined pattern signal input was shown. The effectiveness of the neural network system for partial discharge recognition was shown.

元の言語English
ページ(範囲)75-84
ページ数10
ジャーナルIEE Proceedings: Science, Measurement and Technology
142
発行部数1
DOI
出版物ステータスPublished - 1995 1 1

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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