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Eccentricity diagnosis in Inverter - Fed Induction Motors via the Analytic Wavelet Transform of transient currents

机译:基于暂态电流的解析小波变换诊断异步电动机的偏心。

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In this paper a recently developed induction motors diagnosis methodology is applied to detect mixed eccentricity in Inverter-Fed Induction Motors (IFIMs). The classic FFT method can not be applied when the stator current captured is not in steady state (which is common in IFIMs). The approach is based on obtaining a 2D time - frequency plot representing the time - frequency evolution of the main components in a stator transient current. The time-frequency maps are generated with high detail using the Analytic Wavelet Transform. Thanks to this, the evolutions of the main Winding Harmonics, Principal Slot Harmonics and Eccentricity Related Harmonics are traced precisely. As a consequence, the time-frequency plane characteristic patterns produced by the Eccentricity Related Harmonics are easily and clearly identified enabling a reliable diagnosis. The methodology capabilities have been shown successfully diagnosing a healthy IFIM and an IFIM with mixed eccentricity. The transients analyzed consist of a startup and a decrease in the assigned frequency.
机译:在本文中,一种最新开发的感应电动机诊断方法被应用于检测变频器供电的感应电动机(IFIM)中的混合偏心率。当捕获的定子电流不是处于稳定状态时(IFIM中很常见),则无法应用经典的FFT方法。该方法基于获得二维时频图,该二维时频图表示定子瞬变电流中主要成分的时频演化。时频图是使用解析小波变换生成的,具有很高的细节。因此,可以精确追踪主要绕组谐波,主槽谐波和偏心相关谐波的演变。结果,由偏心相关谐波产生的时频平面特征图可以很容易地被清楚地识别出来,从而可以进行可靠的诊断。已经证明该方法具有成功诊断健康的IFIM和混合偏心的IFIM的能力。分析的瞬态包括启动和分配频率的降低。

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