基于MEEMD-AIC的簇绒地毯织机噪声源识别方法
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摘要
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。
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.
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.
引文
[1]中华人民共和国住房和城乡建设部.GB/T 50087-2013工业企业噪声控制设计规范[S].北京:中国建筑工业出版社,2014.
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[3]Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceeding of the Royal Society of London Series,1998,454A:903-995.
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[5]郑旭,郝志勇,卢兆刚,等.基于MEEMD的内燃机机体活塞敲击激励与燃烧爆发激励分离研究[J].振动与冲击,2012,31(6):109-113.Zheng Xu,Hao Zhiyong,Lu Zhaogang,et al.Separation of piston-slap and combustion shock excitations via MEEMD method[J].Journal of Vibration and Shock,2012,31(6):109-113.(in Chinese)
[6]Wu Zhaohua,Huang N E.Ensemble empirical mode decomposition:a noise-assisted data analysis method[J].Advances in Adaptive Data Analysis,2009,1(1):1-41.
[7]王丽.工程机械司机室内噪声信号盲源分离及特性研究[D].济南:山东大学,2014.
[8]Akaike H.A new look at the statistical model identification[J].IEEE Transactions on Automatic Control,1974,19(6):716-723.
[9]Wu Zhaohua,Huang N E.A study of the characteristics of white noise using the empirical mode decomposition method[J].Proceedings of the Royal Society,2004,460(2046):1597-1611.
[10]谢纪岭,司锡才.基于协方差矩阵对角加载的信源数估计方法[J].系统工程与电子技术,2008,30(1):46-49.Xie Jiling,Si Xicai.Determining the number of sources based on diagonal loading to the covariance matrix[J].Systems Engineering and Electronics,2008,30(1):46-49.(in Chinese)
[11]中华人民共和国国家质量监督检验检疫总局.GB/T7111.6-2002纺织机械噪声测试规范第6部分:织造机械[S].北京:中国标准出版社,2002.
[12]谭佳丰,傅攀.机械设备摩擦噪声的信号测试与处理[J].中国测试技术,2006(3):45-47.Tan Jiafeng,Fu Pan.Signal testing and processing for frictional noise of mechanical equipment[J].China Measurement Technology,2006(3):45-47.(in Chinese)
[2]王淑云,匡雅,曾向璟,等.纺织企业噪声职业危害风险评价及降噪措施[J].中国安全生产科学技术,2014,10(2):141-146.Wang Shutun,Kuang Ya,Zeng Xiangjing,et al.Risk assessment on occupational noise hazard and noise reduction measures in a textile mill[J].Journal of Safety Science and Technology,2014,10(2):141-146.(in Chinese)
[3]Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceeding of the Royal Society of London Series,1998,454A:903-995.
[4]杨永锋,吴亚峰.经验模态分解在振动分析中的应用[M].北京:国防工业出版社,2013:5-42.
[5]郑旭,郝志勇,卢兆刚,等.基于MEEMD的内燃机机体活塞敲击激励与燃烧爆发激励分离研究[J].振动与冲击,2012,31(6):109-113.Zheng Xu,Hao Zhiyong,Lu Zhaogang,et al.Separation of piston-slap and combustion shock excitations via MEEMD method[J].Journal of Vibration and Shock,2012,31(6):109-113.(in Chinese)
[6]Wu Zhaohua,Huang N E.Ensemble empirical mode decomposition:a noise-assisted data analysis method[J].Advances in Adaptive Data Analysis,2009,1(1):1-41.
[7]王丽.工程机械司机室内噪声信号盲源分离及特性研究[D].济南:山东大学,2014.
[8]Akaike H.A new look at the statistical model identification[J].IEEE Transactions on Automatic Control,1974,19(6):716-723.
[9]Wu Zhaohua,Huang N E.A study of the characteristics of white noise using the empirical mode decomposition method[J].Proceedings of the Royal Society,2004,460(2046):1597-1611.
[10]谢纪岭,司锡才.基于协方差矩阵对角加载的信源数估计方法[J].系统工程与电子技术,2008,30(1):46-49.Xie Jiling,Si Xicai.Determining the number of sources based on diagonal loading to the covariance matrix[J].Systems Engineering and Electronics,2008,30(1):46-49.(in Chinese)
[11]中华人民共和国国家质量监督检验检疫总局.GB/T7111.6-2002纺织机械噪声测试规范第6部分:织造机械[S].北京:中国标准出版社,2002.
[12]谭佳丰,傅攀.机械设备摩擦噪声的信号测试与处理[J].中国测试技术,2006(3):45-47.Tan Jiafeng,Fu Pan.Signal testing and processing for frictional noise of mechanical equipment[J].China Measurement Technology,2006(3):45-47.(in Chinese)