逆相電流電圧解析による電動機固定子巻線短絡検出の高精度化

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: 2017/01/01

タイトル(英語): Highly Accurate Analysis for Detection of Inter-Turn Stator Winding Fault Based on Negative Sequence Currents and Voltages in Induction Motors

著者名: 金丸　誠（三菱電機（株）先端技術総合研究所），森　貢（三菱電機（株）先端技術総合研究所），月間　満（三菱電機（株）先端技術総合研究所），宮内　俊彦（三菱電機（株）受配電システム製作所），大西　健司（三菱電機（株）受配電システム製作所），林　和史（三菱電機（株）受配電システム製作所）

著者名(英語): Makoto Kanemaru (Mitsubishi Electric Co. Advanced Technology R&D Center), Mitsugi Mori (Mitsubishi Electric Co. Advanced Technology R&D Center), Mitsuru Tsukima (Mitsubishi Electric Co. Advanced Technology R&D Center), Toshihiko Miyauchi (Mitsubishi Electric Co. Power Distribution System Center), Kenji Onishi (Mitsubishi Electric Co. Power Distribution System Center), Kazufumi Hayashi (Mitsubishi Electric Co. Power Distribution System Center)

キーワード: 誘導機，巻線短絡，逆相電流電圧，負荷トルク，電源不平衡　　induction motor，Inter-turn stator winding fault，negative sequence currents and voltages，load torque，voltage unbalance

要約(英語): Winding insulation failures are among the most severe electric faults in industrial induction motors. It is believed that these failures start as minor inter-turn faults that eventually lead to serious insulation breakdowns. Therefore, using an online detection technique in early stages could be quite advantageous for avoiding serious failures. In this study, we have focused on the asymmetries in a three-phase circuit, and investigated the negative sequence components of the line current and voltage under various complicated conditions, such as unbalanced supply voltages, different values of the number of shorted turns, and different loads. Based on the experimental results and steady-state equivalent circuit models of an induction motor, we have developed a highly accurate analysis algorithm for the inter-turn stator winding fault, to provide an early warning of impending failures. The proposed algorithm utilizes an off-diagonal term of the sequence component admittance matrix calculated from negative sequence current, voltage and admittance. To improve fault detection performance, the algorithm is exposed to the normal operating range of the motor in the learning stage.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.137 No.1 （2017）

本誌掲載ページ: 17-23 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/137/1/137_17/_article/-char/ja/