IPMSM 모터의 상전류 특성분석(MCSA)을 이용한 demagnetization 고장진단

Abstract

Most fault detection techniques are focused on induction motors and are based on steady-state conditions. In this paper, an diagnosis system for demagnetization fault detection in interior permanent magnet synchronous motors (IPMSM) is proposed. The study is focused on an IPMSM under non-stationary conditions. The main technique is formulated by modifying existing xed frequency sinusoid tracking algorithms and support vector machine, which is based on an adaptive algorithm for extracting non-stationary sinusoids. The faults are determined using the motor current signature analysis technique. Simulations performed in this study validate that the proposed algorithm improves the extraction erformance.