Arc-Fault Detection method with Saturated Current Transformer

Sittichai Wangwiwattana, Koike Yoshikazu

研究成果: Conference contribution

抄録

In this research, we devised a low cost and low voltage arc-fault detector. The circuit detection method is to measure peak current from the current transformer and make the comparison between non-Arc-fault state and arc-fault state. Since the output current peak created by the current sense transformer in arc-fault state has certain jagged edge, voltage output from the transformer is substantially lower than that of normal state. Such a voltage variation causes into changes of magnetic flux in the current transformer. It is expected that the large voltage difference between arc fault and non-Arc fault state appears. It can be used to detect and identify the arc-fault even if arc-fault influence on the supplied voltage is quite low. In this report, we are able to detect the direct pattern difference between non-Arc fault and arc fault state. The detection setup for proposed method can be created successfully.

本文言語English
ホスト出版物のタイトル2022 2nd International Conference on Image Processing and Robotics, ICIPRob 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781665407717
DOI
出版ステータスPublished - 2022
イベント2nd International Conference on Image Processing and Robotics, ICIPRob 2022 - Colombo, Sri Lanka
継続期間: 2022 3月 122022 3月 13

出版物シリーズ

名前2022 2nd International Conference on Image Processing and Robotics, ICIPRob 2022

Conference

Conference2nd International Conference on Image Processing and Robotics, ICIPRob 2022
国/地域Sri Lanka
CityColombo
Period22/3/1222/3/13

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理
  • 制御と最適化
  • モデリングとシミュレーション

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