An Analog Parallel Neural Network Circuit for Auto-Detection of Partial Discharges in Power Cables

• YASUDA Yoh

  Kansai University

• HARA Takehisa

  Kansai University

• HIROTSU Kenichi

  Sumitomo Electric Industries

• CHEN Min

  Sumitomo Electric Industries

• ISOSHIMA Shigeki

  Sumitomo Electric Industries

Bibliographic Information

Other Title

• 電力ケーブル内部分放電自動検出のためのアナログ並列ニューラルネットワーク回路の試作
• デンリョク ケーブル ナイブ ブン ホウデン ジドウ ケンシュツ ノ タメ ノ

Abstract

In order to realize an anto-detection system of a single pulse of partial discharge in power cables, a neural network (NN) system with very fast computation (no more than I ms) are desired. In this paper, we present a trial manufactured auto-detection NN system using an analog parallel circuit. The feature of this system is adoption of a Random Weight Change learning algorithm, which is suitable for the analog processing without smooth sigmoid function. Experimental results of a manufactured circuit are also investigated.

Journal

• IEEJ Transactions on Power and Energy

  IEEJ Transactions on Power and Energy 118 (11), 1271-1276, 1998

  The Institute of Electrical Engineers of Japan

Keywords

• 電力ケーブル
• 部分放電
• アナログニューラルネットワーク
• Randorn Weight Change学習則

Details

• CRID: 1390001204604884736
• NII Article ID: 130006841337
• NII Article ID: 10002877200
• NII Book ID: AN10136334
• DOI: 10.1541/ieejpes1990.118.11_1271
• ISSN: 13488147
• ISSN: 03854213
• NDL BIB ID: 4588404
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4588404
• Web Site: https://www.jstage.jst.go.jp/article/ieejpes1990/118/11/118_11_1271/_pdf
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed