Detection and classification of rotor demagnetization and eccentricity faults for PM synchronous motors
Detection and classification of rotor demagnetization and eccentricity faults for PM synchronous motors
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DOI：
10.1109/tia.2012.2191253
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发表时间：
2011-11
期刊：
影响因子：
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通讯作者：
Jongman Hong;D. Hyun;Tae-June Kang;Sang Bin Lee;C. Kral;A. Haumer
中科院分区：
文献类型：
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作者：
Jongman Hong;D. Hyun;Tae-June Kang;Sang Bin Lee;C. Kral;A. Haumer
永磁同步电动机（PMSM）转子退磁、偏心等问题的状态监测是保证电机高性能、高效率、高可靠性的关键。然而，目前用于永磁同步电机转子质量评估的离线和在线方法都存在许多局限性。在本文中，逆变器嵌入式技术的永磁同步电机转子故障的自动检测和分类提出了一种替代方案。主要概念是使用逆变器在电机停止时执行测试，以检测独立于运行条件或负载扭矩振荡的转子故障，这是电机电流特征分析（MCSA）无法实现的。d轴用dc+ac信号激励，并且观察由于退磁或偏心引起的磁饱和度的变化而引起的电感图案的变化以进行故障检测。通过对7.5kW永磁同步电机的实验研究，验证了该方法能够独立于负载进行退磁和偏心的检测和分类，具有较高的灵敏度。
Condition monitoring of rotor problems such as demagnetization and eccentricity in permanent magnet synchronous motors (PMSM) is essential for guaranteeing high motor performance, efficiency, and reliability. However, there are many limitations to the off-line and on-line methods currently used for PMSM rotor quality assessment. In this paper, an inverter-embedded technique for automated detection and classification of PMSM rotor faults is proposed as an alternative. The main concept is to use the inverter to perform a test whenever the motor is stopped, to detect rotor faults independent of operating conditions or load torque oscillations, which is not possible with motor current signature analysis (MCSA). The d-axis is excited with a dc+ac signal, and the variation in the inductance pattern due to the change in the degree of magnetic saturation caused by demagnetization or eccentricity is observed for fault detection. An experimental study on a 7.5kW PMSM verifies that demagnetization and eccentricity can be detected and classified independent of the load with high sensitivity.