固定子電流パワースペクトルの特徴周波数監視による電動機軸受の異常検出技術

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: 2017/10/01

タイトル(英語): Bearing Fault Detection in Induction Machine Based on Stator Current Spectrum Monitoring

著者名: 金丸　誠（三菱電機（株）先端技術総合研究所），月間　満（大阪電気通信大学），宮内　俊彦（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 (Advanced Technology R&D Center, Mitsubishi Electric Corp.), Mitsuru Tsukima (Osaka Electro-Communication University), Toshihiko Miyauchi (Power Distribution System Center, Mitsubishi Electric Corp.), Kazufumi Hayashi (Power Distribution System Center, Mitsubishi Electric Corp.)

キーワード: 誘導電動機，異物混入軸受，固定子電流パワースペクトル，軸受固有周波数，回転周波数，異常検出　　induction motor，powder contaminated bearing，stator current power spectral density，bearing fault frequency，rotational frequency，fault detection

要約(英語): Bearing faults account for a large majority of the faults in a three-phase induction motor. Recently, many research activities were focused on the diagnosis of bearing faults by motor current signature analysis. However, the effective frequency band is not fully understood in terms of the diagnosis of the bearing fault. Moreover, the temporal change in motor stator current spectrum with faulty bearing has not been sufficiently investigated. The purpose of this paper is to clarify the characteristic frequency band and to evaluate the temporal change in the power spectral density of stator current by using powder contaminated bearing before complete halt of the motor. Experiments were performed with normal and powder contaminated bearings in the induction motor. The diagnosis technique for the powder contaminated bearing is discussed based on the experimental results.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.137 No.10 （2017）

本誌掲載ページ: 799-805 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/137/10/137_799/_article/-char/ja/