联合去噪算法在输气管道泄漏声信号中的应用  

Application of Combined Denoising Algorithm in Gas Transportation Pipeline Leakage Acoustic Signal

作　　者：师晓开 孙首群[1] Shi Xiaokai;Sun Shouqun(College of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai,200093,China)

机构地区：[1]上海理工大学机械工程学院,上海200093

出　　处：《石油化工自动化》2022年第1期15-21,共7页Automation in Petro-chemical Industry

基　　金：国家科技支撑计划项目(No.2015BAK16B04)。

摘　　要：针对油气管道发生泄漏后,泄漏声信号在沿管道传播过程中必不可少的会混入噪声问题,研究了变分模态分解(VMD)在管道泄漏去噪中的应用,提出了一种基于VMD,多尺度排列熵(MPE)和小波阈值去噪(WT)的VMD MPE WT联合去噪算法。利用MATLAB软件在该算法对信号处理结果进行仿真分析,结果表明:对比小波去噪,VMD,VMD WT去噪,该联合去噪算法在强噪声下的泄漏声信号能得到更高的信噪比和更小的均方误差,去噪效果较好。Aiming at the problem that the leakage acoustic signal will be essential mixed with noise when leakage occurred for the oil and gas pipeline, the application of variational mode decomposition(VMD) in the pipeline leakage denoising is studied, a joint VMD-MPE-WT denoising algorithm based on VMD, multi-scale permutation entropy(MPE) and wavelet threshold denoising(WT) is proposed. The MATLAB software is used to simulate and analyze the signal processing results. The results show that compared with wavelet denoising, VMD denoising and VMD-WT denoising, the joint denoising algorithm can get higher signal-to-noise ratio and smaller mean square error in the leakage acoustic signal under strong noise, and the denoising effect is better.

关 键 词：小波阈值去噪 变分模态分解 多尺度排列熵 泄漏声信号 

分 类 号：TB535[理学—物理]