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

T. Okamoto, T. Tanaka

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)75-84
Number of pages10
JournalIEE Proceedings: Science, Measurement and Technology
Volume142
Issue number1
DOIs
Publication statusPublished - 1995 Jan
Externally publishedYes

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Partial discharges
Pattern recognition
Neural networks
Electrodes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Partial discharge pattern recognition for three kinds of model electrodes with a neural network. / Okamoto, T.; Tanaka, T.

In: IEE Proceedings: Science, Measurement and Technology, Vol. 142, No. 1, 01.1995, p. 75-84.

Research output: Contribution to journalArticle

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