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

T. Okamoto, T. Tanaka

研究成果: Article査読

14 被引用数 (Scopus)

抄録

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.

本文言語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
1
DOI
出版ステータスPublished - 1995 1月 1

ASJC Scopus subject areas

  • 電子工学および電気工学

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