低圧配電線路に用いる絶縁監視装置の新しい検出方式

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: 2016/11/01

タイトル(英語): New Detection Method for an Insulation Level Monitoring Device Used in Low-Voltage Distribution Lines

著者名: 西村　和則（広島工業大学大学院工学系研究科），丸井　雄策（広島工業大学大学院工学系研究科），西村　諭則（早稲田大学大学院環境・エネルギー研究科），砂山　渡（滋賀県立大学工学部）

著者名(英語): Kazunori Nishimura (Graduate School of Engineering, Hiroshima Institute of Technology), Yusaku Marui (Graduate School of Engineering, Hiroshima Institute of Technology), Satonori Nishimura (Graduate School of Environment and Energy Engineering, Waseda University), Wataru Sunayama (School of Engineering, The University of Shiga Prefecture)

キーワード: 絶縁監視装置，漏えい電流検出，事故原因判定，決定木分析　　insulation level monitoring device，leakage current detection，fault cause decision，decision tree analysis

要約(英語): This paper presents a new method of determining the causes of faults by using decision tree analysis. These days, the high economic growth in Japan has led to a rapid increase in the number of customers receiving high voltages (i.e., > 50kW electric facilities). Therefore, the maintenance of these facilities has become important from a power quality point of view, and electric facilities for private use install an insulation level monitoring device to detect the leakage current from an electrical fault. The insulation level monitoring device detects the leakage current based on threshold current of 50mA. Usually, faults are detected by combining analytical elements of the threshold or majority decision method. However, these methods cannot achieve high accuracy without the optimal threshold being defined.In this paper, we propose a new method for determining the causes of faults by using decision tree analysis with an insulation level monitoring device. We compared the differences in the accuracy among the threshold method, majority decision method, and decision tree analysis. We found that decision tree analysis can determine the optimal threshold to classify the fault cause. By repeating this method in multiple stages, the optimal threshold of each fault cause can be determined more accurately.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.136 No.11 （2016）

本誌掲載ページ: 878-883 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/136/11/136_878/_article/-char/ja/