VMD-Wavelet联合去噪算法研究与应用  

VMD-Wavelet Denoising Algorithm and Its Application in Acoustic Signal Processing of Oil and Gas Pipeline Leakage

作　　者：阚玲玲[1] 高丙坤[1] 梁洪卫[1] 路敬祎[2] 王喜良 KAN Lingling;GAO Bingkun;LIANG Hongwei;LU Jingyi;WANG Xiliang(.College of ElectricalEngineering and Information,Northeast Petroleum University,Daqing 163318,China;.Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control,Northeast Petroleum University,Daqing 163318,China;Stamping Workshop of South Factory,Shanghai Automotive Industry Corp-General Motors Company,Yantai 264006,China)

机构地区：[1]东北石油大学电气信息工程学院,黑龙江大庆163318 [2]东北石油大学黑龙江省网络与智能控制重点实验室,黑龙江大庆163318 [3]上汽通用汽车有限公司南厂冲压车间,山东烟台264006

出　　处：《吉林大学学报（信息科学版）》2020年第5期588-594,共7页Journal of Jilin University（Information Science Edition）

基　　金：黑龙江省自然科学基金资助项目(LH2020F005)。

摘　　要：为解决天然气管道运行过程中采集到的泄漏声波信号含有大量噪声的问题,通过研究小波、经验模态分解、变模态分解等常见去噪算法,分析了泄漏声波信号的特点,将改进小波阈值去噪和变模态分解去噪相结合,提出了变模态分解-小波变换(VMD-Wavelet:Variable Mode Decomposition-Wavelet)联合去噪算法。利用该算法对典型信号进行去噪运算仿真,结果表明,该联合去噪算法性能优于常见算法。最后,将VMD-Wavelet联合去噪算法应用于实际采集的油气管道泄漏声波信号去噪处理,研究发现,该去噪算法对强背景噪声下的泄漏声波信号能取得很高的信噪比改善和很小的均方误差。The leakage acoustic signal of oil and gas pipeline contains large amount of noise.The common denoising algorithms such as wavelet transform,empirical mode decomposition and variable mode decomposition are studied.According to the characteristics of the leakage acoustic signal,referring to the idea of Wavelet-EMD(Wavelet-Empirical Mode Decomposition)algorithm,combining the improved wavelet threshold denoising and variable mode decomposition,a VMD-Wavelet(Variable Mode Decomposition-Wavelet)algorithm is proposed.Four typical signals with noise are used to verify that VMD-wavelet joint denoising algorithm is superior to other common denoising algorithms in output SNR(Signal Noise Ratio)and minimum mean square error.Finally,the VMD-Wavelet algorithm is applied to the actual pipeline leakage acoustic signal denoising.It is found that the VMD-Wavelet algorithm can achieve a high signal-to-noise ratio and a small mean square error for the pipeline leakage acoustic signal under strong background noise.

关 键 词：小波阈值去噪 经验模态分解 变模态分解 泄漏声波信号 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] TB535[自动化与计算机技术—计算机科学与技术]