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De-noising method for mechanical vibration signals based on EMD

机译:基于EMD的机械振动信号降噪方法

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De-Noising of the vibration signal is the key to improve the accuracy of fault diagnosis. A new method of De-Noising based on Empirical Mode Decomposition (EMD) has been proposed. This method overcome the defect that traditional time domain or frequency domain filters need to determine the window function of shape and position by using the filter generated from its own signal. De-Noising processes of numerical simulation signal is tested. Experiments result shows that this method has better performance on noise to signal ratio and fault features extracting compared to traditional wavelet de-noising.
机译:振动信号的去噪是提高故障诊断精度的关键。提出了一种基于经验模态分解(EMD)的去噪方法。该方法克服了传统时域或频域滤波器需要利用其自身信号生成的滤波器来确定形状和位置的窗函数的缺点。测试了数值模拟信号的去噪过程。实验结果表明,与传统的小波去噪相比,该方法具有更好的信噪比和故障特征提取性能。

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