著者

三好 将仁 金丸 誠 安原 裕登 宮内 俊彦

出版者

一般社団法人 電気学会

雑誌

電気学会論文誌D(産業応用部門誌) (ISSN:09136339)

巻号頁・発行日

vol.142, no.2, pp.119-124, 2022-02-01 (Released:2022-02-01)

参考文献数

17

---

Feature values of the current are rapidly becoming online indicators of faults in motors and load equipment. Diagnosis by analysis of the stator currents is called motor current signature analysis (MCSA). Compared with vibration analysis, this method can be applied without sensors, and additional long wiring. MCSA detects incidents peculiar to motors, such as bearing failures and rotor bar faults, before breakdown. In this study, we introduce relationships between the failures and current features. The MCSA sometimes has difficulty in identifying anomalies and there is the possibility of false-positive results; hence, we propose some solutions to these problems.