%0 Journal Article
%T 基于MEEMD-AIC的簇绒地毯织机噪声源识别方法<br>Noise Source Identification Method of Carpet Tufting Machine Based on MEEMD-AIC
%A 徐洋
%A 张晓蕾
%A 盛晓伟
%A 赵锦艳
%A 孙志军
%J 振动.测试与诊断
%D 2018
%R 10.16450/j.cnki.issn.1004-6801.2018.06.014
%X 簇绒地毯织机噪声信号由多个噪声源信号混叠而成,为实现簇绒地毯织机噪声源识别，提出了一种基于改进集总平均经验模态分解（modified ensemble empirical mode decomposition，简称MEEMD）和赤池信息量准则(Akaike information criterion，简称AIC)的噪声源识别方法。首先，利用MEEMD将测得的噪声信号分解为有限个本征模态函数( intrinsic mode function，简称IMF)分量；其次，对分量矩阵的协方差矩阵进行奇异值分解(singular value decomposition，简称SVD)，得到矩阵特征值；然后，利用AIC准则估计有效分量的个数，同时结合能量特征指标和皮尔逊相关系数法筛选出有效分量；最后，对筛选出的有效分量逐一进行时频分析，实现簇绒地毯织机噪声源识别结果表明，耦联轴系中钩轴振动是簇绒地毯织机最主要的噪声源，该方法适用于簇绒地毯织机噪声源识别，对实现簇绒地毯织机主动降噪提供了理论支持。<br>In order to realize the noise source recognition of carpet tufting machines, a method of noise source recognition based on modified ensemble empirical mode decomposition (MEEMD) and Akaike information criterion (AIC) is proposed. First, MEEMD is used to decompose the measured noise signal into a finite number of intrinsic mode function (IMF) components. Then the singular value decomposition (SVD) of the covariance matrix of the component matrix is performed to get the eigenvalues of the matrix. Next, the number of effective components is estimated by using the AIC criterion. At the same time, the effective components are selected by combining the energy characteristic index and the Pearson correlation coefficient method. Finally, the time-frequency analysis of the effective components is carried out one by one to realize the noise source identification of the carpet tufting machine. The results show that the method is suitable for the noise source recognition of the carpet tufting machine used for the experiment，the noise signal of the carpet tufting machine is mixed by multiple noise sources, in which the vibration of hook shaft in the coupling shaft system is the main noise source of the carpet tufting machine. The results provide theoretical support for the realization of the active noise reduction of the carpet tufting machine.
%K 改进集总平均经验模态分解
%K 赤池信息量准则
%K 簇绒地毯织机
%K 噪声源识别&lt
%K br&gt
%K modified ensemble empirical mode decomposition
%K Akaike information criterion
%K carpet tufting machine
%K noise source identification
%U http://zdcs.nuaa.edu.cn/ch/reader/view_abstract.aspx?file_no=201806014&flag=1