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An Improved Empirical Mode Decomposition Method Using Variable Window Median Filter for Early Fault Detection in Electric Motors

机译:改进的基于变窗中值滤波的经验模态分解方法用于电动机的早期故障检测

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摘要

This paper proposes an improved Empirical Mode Decomposition (EMD) method by using variable window size median filters during the Intrinsic Mode Functions (IMFs) generation. Compared to the traditional EMD, the improved EMD, namely, Median EMD (MEMD), helps to reduce mode-mixing providing an improvement in terms of separating the fundamental frequencies per IMF. The MEMD method applies the EMD to the signal and then applies a variable window size median filter to the resulting IMFs. A narrow window is used for high frequency components where a broader window is used for the lower frequency components. The filtered IMFs are then summed again and another round of EMD is applied to yield the improved MEMD IMFs. A test setup for accelerated aging of bearings in induction motors is used for the comparison of the traditional and the improved EMD methods with the goal of finding potential bearing defects in an induction motor. The potential defect at the early stage is compared with the faulty state and is used to extract the characteristics of the bearing damage that develops gradually. Comparing the EMD and MEMD, it is seen that MEMD is an improvement to EMD in terms of mode-mixing problem. The MEMD method demonstrated to have better performance compared to the traditional EMD for the extraction of the fault features from the healthy operational state of the motor.
机译:本文提出了一种改进的经验模式分解(EMD)方法,该方法通过在固有模式函数(IMF)生成过程中使用可变窗口大小的中值滤波器来实现。与传统的EMD相比,改进的EMD(即中值EMD(MEMD))有助于减少模式混合,从而在分离每个IMF的基本频率方面提供了改进。 MEMD方法将EMD应用于信号,然后将可变窗口大小的中值滤波器应用于所得的IMF。较窄的窗口用于高频分量,而较宽的窗口用于低频分量。然后再次对滤波后的IMF求和,并应用另一轮EMD以产生改进的MEMD IMF。一种用于感应电动机中轴承加速老化的测试装置用于比较传统和改进的EMD方法,目的是发现感应电动机中潜在的轴承缺陷。将早期的潜在缺陷与故障状态进行比较,并用于提取逐渐发展的轴承损坏的特征。比较EMD和MEMD,可以看出MEMD在模混合问题上是对EMD的改进。与传统的EMD相比,MEMD方法具有更好的性能,可从电动机的正常运行状态中提取故障特征。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2019年第4期|8015295.1-8015295.9|共9页
  • 作者

    Karatoprak Erinc; Seker Serhat;

  • 作者单位

    Istanbul Tech Univ, Fac Elect & Elect Engn, Istanbul, Turkey;

    Istanbul Tech Univ, Fac Elect & Elect Engn, Istanbul, Turkey;

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  • 正文语种 eng
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