吉林大学学报（信息科学版）2025，Vol.43Issue(2)：238-244,7.
基于VMD-HD-VMD的信号去噪方法
Pipeline Leakage Signal Denoising Using VMD-HD-VMD
摘要
Abstract
In order to distinguish the effective component and noise component after VMD(Variational Mode Decomposition),and improve the denoising effect of VMD.A denoising algorithm(VMD-HD-VMD)combining VMD and HD(Hausdorff Distance)is proposed.Firstly,the original signal is decomposed into k IMF(Intrinsic Mode Functions)by VMD,the HD value of the probability density function of IMF component is calculated respectively,and the effective component and noise component are distinguished according to the HD value.Then the noise component is decomposed by VMD again,the effective component is selected by correlation coefficient,and reconstructed with the effective component decomposed for the first time.This method is applied to the denoising of pipeline leakage signal.The simulation experiment and pipeline leakage signal processing show that this method has better effect than EEMD(Ensemble Empirical Mode Decomposition),VMD and VMD combined wavelet denoising.关键词
变分模态分解/豪斯多夫距离/管道泄漏/去噪Key words
variational mode decomposition(VMD)/hausdorff distance(HD)/pipeline leak/denoising分类
电子信息工程引用本文复制引用
王冬梅,肖建利,路敬祎,何彬..基于VMD-HD-VMD的信号去噪方法[J].吉林大学学报（信息科学版）,2025,43(2):238-244,7.基金项目
国家自然科学基金资助项目(61873058) （61873058）
中国石油科技创新基金资助项目(2018D-5007-0302) （2018D-5007-0302）
东北石油大学青年科学基金资助项目(2018QNL-33) （2018QNL-33）
冶金装备及其控制教育部重点实验室开放基金资助项目(MECOF2019B01) （MECOF2019B01）
