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浙江大学学报(工学版)
J4  2011, Vol. 45 Issue (8): 1376-1381    DOI: 10.3785/j.issn.1008-973X.2011.08.008
    
IMF-based denoising method for vibration signal in
rotating machinery
XIONG Xin, YANG Shi-xi, ZHOU Xiao-feng
Department of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
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Abstract  

Cancelling low-energy noises of non-stationary vibration signal in rotating machinery based on empirical mode decomposition(EMD) is problematic. Considering this kind of problem, a new method based on intrinsic mode function(IMF) thresholding was presented for locally excluding low-energy noises. In this method, vibration signal was first decomposed into several IMFs using EMD. Then, L sample sequences were constructed in which the sequences were made up of the same signal portion and L different first-order IMFs. L different first-order IMFs were previously obtained by randomly sorting the locations of first-order IMF samples. In order to locally exclude low-energy noises in IMFs, threshold value of each IMF had to be calculated based on the estimation of power densities in white noise only IMFs. The samples which have smaller amplitude than the threshold value in the zero-crossing intervals were considered to be noises and removed. Collect the retained samples and reconstruct signal using thresholded IMFs. Simulation and experiment show that the proposed method can effectively exclude low-energy noises in each IMF. Besides, time-frequency feature of the denoised signal is obvious.

Published: 08 September 2011
CLC:  TN 911.7  
  TH 165.3  
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Cite this article:

XIONG Xin, YANG Shi-xi, ZHOU Xiao-feng. IMF-based denoising method for vibration signal in
rotating machinery. J4, 2011, 45(8): 1376-1381.

URL:

https://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2011.08.008     OR     https://www.zjujournals.com/eng/Y2011/V45/I8/1376


旋转机械振动信号的固有模式函数降噪方法

针对旋转机械非平稳振动信号中局部低能量噪声的消除问题,提出一种基于固有模式函数(IMF)的振动信号降噪方法.该方法在信号经验模式分解(EMD)的基础上,通过对一阶IMF进行L次随机排序操作,构造观测信号的L个样本序列.根据白噪声各阶IMF的能量密度,计算L个样本序列各自分解所得IMF的阈值.通过样本幅值与阈值的比较,将IMF中过零点区间内极值小于阈值的所有样本点去除,并利用这些阈值去噪后的IMF重构信号.仿真和实验结果表明,本方法对各阶IMF中局部低能量噪声的消除是有效的,且降噪后信号的时频特征显著.

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