伝導性ノイズによるブレーカの導体接続部緩み検出に関する基礎検討

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2021/01/01

タイトル(英語): Detection of Slackening of Conductor Connection in Circuit Breakers Using Conducted Emission

著者名: 竹中　清人（名古屋工業大学／あいち産業科学技術総合センター 産業技術センター），水野　幸男（名古屋工業大学），林　文移（河村電器産業（株））

著者名(英語): Kiyoto Takenaka (Nagoya Institute of Technology/Aichi Center for Industry and Science Technology), Yukio Mizuno (Nagoya Institute of Technology), Wenyi Lin (Kawamura Electric Inc.)

キーワード: ブレーカ，ねじの緩み，伝導性ノイズ，畳み込みニューラルネットワーク，火災未然防止　　circuit breaker，screw slackening，conducted emission，convolutional neural network，fire prevention

要約(英語): Overheating due to the screw slackening of a circuit breaker, an electromagnetic switch, a terminal, or a plug-receptacle in a distribution panel or an electric apparatus is one of the main causes of fire accidents originating from electrical equipment in industrial and domestic environments. In this study, we propose a novel screw slackening sensing method for a commercially available 100V blanch circuit breaker. Attention is paid to the conducted emission spectrum obtained during discharge, which occasionally occurs in a small gap between the slackened connected conductors. An investigation of the screw slackening is conducted based on a convolutional neural network. Thus, the proposed approach serves as a potentially effective method for the prevention of fire accidents due to screw slackening.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.141 No.1 （2021）

本誌掲載ページ: 70-77 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejias/141/1/141_70/_article/-char/ja/