基于EMD与相关系数原理的故障声发射信号降噪研究

发布时间：2019-04-19 08:46

【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]:Acoustic emission signals are often interfered by many non-stationary non-linear noises, which makes the identification of useful acoustic emission signals more difficult. According to the principle of correlation coefficient, a de-noising method of rotating machinery collision acoustic emission signal based on empirical mode decomposition (EMD) is presented in this paper. In this paper, the correlation coefficients between the Eigen-mode function of the noisy signal and the noisy signal itself are obtained after empirical mode decomposition, and the filtering characteristics of the EMD are combined with the variation rule of the EMD. The eigenmode function which is less polluted by noise is selected to reconstruct the signal to achieve the de-noising purpose. The method is applied to de-noising impingement acoustic emission signals polluted by different kinds of noise. The experimental results show that this method can effectively remove noise and has the advantages of not affected by subjective parameters, stable results and self-adaptation.
【作者单位】：东南大学火电机组振动国家工程研究中心;宁波市自来水有限公司;东南大学信息科学与工程学院;国电投河南电力有限公司技术信息中心;
【基金】：国家工程中心创新能力建设项目(6750100000)
【分类号】：TH17

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