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On-line current monitoring and application of a finite element method to predict the level of static airgap eccentricity in three-phase induction motors

机译:在线电流监测和有限元方法的应用来预测三相感应电动机的静态气隙偏心水平

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The introduction reviews the real practical problems of airgap eccentricity in large 3-phase induction motors. On-line monitoring methods for diagnosing airgap eccentricity are also discussed and a state of the art review on the application of current monitoring to detect airgap eccentricity is presented. The limitations of the classical MMF and permeance wave approach for predicting the severity of airgap eccentricity are discussed. The time stepping finite element (FE) method and FFT analysis technique are used as 'analyses tools' to predict the frequency components in the current (Hz and dB) as a function of static airgap eccentricity. Excellent agreement is obtained between the measured and predicted frequency components (Hz) in the current spectra which are a function of static eccentricity. The FE method is also used to predict the magnitude (dB) of these frequency components in the current spectrum with different levels of static airgap eccentricity. These predictions are much closer to the measured values in comparison to previous attempts using the classical MMF and permeance wave approach. The contents of this paper will be of particular interest to the manufacturers and industrial users of three-phase induction motors.
机译:引言回顾了大型三相感应电动机中气隙偏心的实际实际问题。还讨论了用于诊断气隙偏心率的在线监测方法,并提供了有关电流监测在检测气隙偏心率方面的最新技术综述。讨论了经典MMF和磁导率方法在预测气隙偏心度严重性方面的局限性。时间步长有限元(FE)方法和FFT分析技术被用作“分析工具”,以预测电流中的频率分量(Hz和dB)作为静态气隙偏心率的函数。在电流频谱中的测量频率分量和预测频率分量(Hz)之间获得了极好的一致性,这是静态偏心率的函数。 FE方法还用于预测具有不同水平的静态气隙偏心率的当前频谱中这些频率分量的大小(dB)。与先前使用经典MMF和磁导波方法的尝试相比,这些预测更接近于测量值。本文的内容将使三相感应电动机的制造商和工业用户特别感兴趣。

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