Diagnosis of inter-turn short-circuit stator winding fault in PMSM based on stator current and noise
Diagnosis of inter-turn short-circuit stator winding fault in PMSM based on stator current and noise
复制标题
基于定子电流和噪声的PMSM定子绕组匝间短路故障诊断
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Yongchun Liang
中科院分区：
文献类型：
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作者：
Yongchun Liang
提出了一种基于定子电流和噪声的永磁同步电动机匝间短路故障识别方法。该检测诊断系统由传感器、USB5935数据采集卡和装有LabVIEW的计算机组成。从监测的定子电流中提取定子电流的频率模式，并获得增加的幅度。从监测到的噪声中提取出噪声的频率模式，找出主要的故障频率，并将定子电流的频率模式和上升幅度作为诊断匝间短路故障的主要判据。噪声的频率模式被引入作为次要标准。实验表明，定子电流与噪声的组合有助于诊断永磁同步电动机匝间小短路故障。
In this paper, the method of stator current and noise combination is introduced for inter-turn short-circuit fault recognition in permanent magnet synchronouse motor. The detection and diagnosis system consists of sensors, USB5935 data acquisiton card USB5935 and a computer with LabVIEW installed. The frequency pattern of stator current is extracted from the monitored stator current and the amplitude of increase is obtained. The frequency pattern of noise is extracted from the monitored noise and the main fault frequency is found. The frequency pattern of stator current and the amplitude of increase are introduced as a main criterion to diagnose the inter-turn short-circuit fault. The frequency pattern of noise is introduced as a secondary criterion. The experiment shows that the combination of the stator current and noise is helpful to diagnose the small inter-turn short-circuit fault of permanent magnet synchronouse motor.