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首页> 外文期刊>Journal of China University of Mining and Technology >A Fault Diagnosis Approach for Broken Rotor Bars Based on EMD and Envelope Analysis
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A Fault Diagnosis Approach for Broken Rotor Bars Based on EMD and Envelope Analysis

机译:基于EMD和包络分析的转子断条故障诊断方法。

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摘要

Empirical Mode Decomposition (EMD) used to deal with non-linear and non-stable signals, is a time-frequency analytical method that has been developed recently. In this paper the EMD method is used to filter the noise from the stator current signal that arises when rotor bars break. Then a Hilbert Transform is used to extract the envelope from the filtered signal. With the EMD method again, the frequency band containing the fault characteristic-frequency components, 2sf, can be extracted from the signal's envelope. The last step is to use a Fast Fourier Transform (FFT) method to extract the fault characteristic frequency. This frequency can be detected in actual data from a faulty motor, as shown by example. Compared to the Extend Park Vector method this method is proved to be more sensitive under light motor load.
机译:用于处理非线性和不稳定信号的经验模式分解(EMD)是最近开发的一种时频分析方法。在本文中,EMD方法用于从定子电流信号中滤除转子条断裂时产生的噪声。然后,使用希尔伯特变换从滤波后的信号中提取包络。再次使用EMD方法,可以从信号的包络中提取包含故障特征频率分量2sf的频带。最后一步是使用快速傅立叶变换(FFT)方法提取故障特征频率。如示例所示,可以从故障电动机的实际数据中检测到该频率。与Extend Park Vector方法相比,该方法在轻载时更灵敏。

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