【摘要】 为了实现在管道泄漏时精准定位泄漏点，对管道运行过程中泄漏所产生的次声波信号内的干扰噪声问题进行研究，通过研究小波变换、经验模态分解和变分模态分解等常见的降噪算法以及泄漏的声波特点，将小波阈值降噪和变分模态分解进行融合，提出一种新的小波变换-变分模态分解降噪算法。在环形管道实验平台进行实验，应用该算法对实际采集的管道泄漏次声波信号进行降噪处理，实验表明，该融合算法对泄漏信号的降噪性能良好，对于泄漏孔径为Ф4的泄漏点定位精度可达1.71%。更多还原

【Abstract】 In order to get more accurate localization of pipeline leakage,the denoising method of infrasound signal will be studied.Through the study of wavelet transform,Empirical Mode Decomposition(EMD),Variational Mode Decomposition(VMD) and the acoustic characteristics of leakage,a new Wavelet-VMD algorithm is proposed,which combines wavelet transform denoising and VMD denoising. The Wavelet-VMD algorithm is applied to the annular pipeline,and is used to deniose the actual infrasound signal of pipeline leakage. The experiment results show that the algorithm has good denoising performance,for the leakage diameter of Ф4,the positioning accuracy is 1.71%.更多还原