刘雅斌, 董燕京, 尹海全等. 室内地埋供热管道泄漏的声学监测及其信号去噪方法研究. 力学与实践, 2024, 46(1): 76-85. doi: 10.6052/1000-0879-23-024
引用本文: 刘雅斌, 董燕京, 尹海全等. 室内地埋供热管道泄漏的声学监测及其信号去噪方法研究. 力学与实践, 2024, 46(1): 76-85. doi: 10.6052/1000-0879-23-024
Liu Yabin, Dong Yanjing, Yin Haiquan, et al. Research on acoustic monitoring of leakage of indoor buried heating pipeline and its signal denoising method. Mechanics in Engineering, 2024, 46(1): 76-85. doi: 10.6052/1000-0879-23-024
Citation: Liu Yabin, Dong Yanjing, Yin Haiquan, et al. Research on acoustic monitoring of leakage of indoor buried heating pipeline and its signal denoising method. Mechanics in Engineering, 2024, 46(1): 76-85. doi: 10.6052/1000-0879-23-024

室内地埋供热管道泄漏的声学监测及其信号去噪方法研究

RESEARCH ON ACOUSTIC MONITORING OF LEAKAGE OF INDOOR BURIED HEATING PIPELINE AND ITS SIGNAL DENOISING METHOD

  • 摘要: 为了更精确地对室内地埋供热管道泄漏声学监测信号进行主要特征频率提取和分析,需先对测量信号去噪。本文采用变分模态分解 (variational mode decomposition, VMD),对距离漏水点5 cm和40 cm测量点的原始声信号分别进行模态分解,计算出各模态分量的排列熵并将其作为噪声信号剔除的依据,最后对信号进行重构,并与经验模态分解 (empirical mode decomposition, EMD)、集合经验模态分解 (ensemble empirical mode decomposition, EEMD)的处理结果进行对比。发现相比于其他两种分解降噪方法,VMD能够更好地解决模态混叠问题,能更为精确地将噪声信号去除,达到更好的去噪效果。

     

    Abstract: In order to extract the main characteristic frequencies of the acoustic monitoring signal of the leakage of heating pipelines more accurately, a signal denoising method is necessary. In this paper, variational mode decomposition (VMD) was employed to decompose the original acoustic signals collected at spots 5 cm and 40 cm away from the leakage spot, respectively. The permutation entropy of each modal component was calculated and was used as the standard for removing the noise signals. Finally, the signal was reconstructed. The processing results were compared with the results processed by the empirical mode decomposition (EMD) and the ensemble empirical mode decomposition (EEMD). Compared with the other two decomposition noise reduction methods, VMD can solve the modal aliasing problem better and remove the noise signal more accurately.

     

/

返回文章
返回