基于EMD与相关系数原理的故障声发射信号降噪研究

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振动与冲击 ›› 2017, Vol. 36 ›› Issue (19) : 71-77.

论文

刘东瀛1 邓艾东1 刘振元2 李晶3 张瑞1 黄宏伟4

作者信息 +

A de-noising research for fault acoustic emission signal based on EMD and correlation coefficient

Liu Dongying1 Deng Aidong1 Liu Zhenyuan2Li Jing3Zhang Rui1Huang Hongwei4

Author information +

文章历史 +

摘要

声发射信号经常受到许多非平稳非线性噪声的干扰，这给对有用声发射信号的识别增加了困难。依据相关系数原理提出了一种基于经验模态分解的旋转机械碰摩声发射信号的去噪方法，通过求出含噪信号经过经验模态分解后所得到的各阶本征模态函数与含噪信号自身的相关系数，根据其变化规律并结合经验模态分解的滤波特性，选取被噪声污染程度较低的本征模态函数对信号重构以达到去噪目的。该方法应用于被不同种类噪声污染的碰摩声发射信号的去噪，实验结果表明此方法能有效的去除噪声，并具有不受主观参数影响，结果稳定，自适应等优点。

Abstract

A number of non-stationary and non-linear noises often interfere with the useful acoustic emission(AE)signals in the world,which induce the difficulty in AE recognition.Based on the principle of correlation coefficient,a de-noising method for rubbing AE signals of the rotating machine based on empirical mode decomposition(EMD) was proposed.The original noise polluted AE signal can be divided into several intrinsic mode functions(IMFs) derived from EMD.Through calculating each correlation coefficient between IMFs and AE siginal and finding out their changing regularities with the EMD’s characteristic of filtering,the modes reflecting the important structures of the signal were chosen to combine to form partially reconstruct de-noised signal.Simulations were conducted for rub-impact AE signal polluted by different kinds of noises using this method.Experimental results indicate that this method can not only effectively and adaptively remove noises,but also get the stable results which can not be affected by subjective parameters.

导出引用

刘东瀛1 邓艾东1 刘振元2 李晶3 张瑞1 黄宏伟4. 基于EMD与相关系数原理的故障声发射信号降噪研究[J]. 振动与冲击, 2017, 36(19): 71-77

Liu Dongying1 Deng Aidong1 Liu Zhenyuan2Li Jing3Zhang Rui1Huang Hongwei4. A de-noising research for fault acoustic emission signal based on EMD and correlation coefficient[J]. Journal of Vibration and Shock, 2017, 36(19): 71-77

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