支管流致噪声干扰下的复值域EFastICA管道泄漏声定位技术研究

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摘要供水管网存在大量分支接头，流体在分支接头的分流作用下产生支管流致噪声，并通过管道与泄漏声信号进行耦合。针对支管流致噪声存在下的供水管道泄漏定位问题。提出一种基于EFastICA技术的复值域盲解卷积算法(C-EFastICA)，该算法将时域瞬时线性EFastICA技术的代价函数、约束函数、迭代规则等有效地扩展到复数域，实现对含支管流致噪声的泄漏声信号分解处理。与其它ICA类算法固定选择非线性函数g不同的是，C-EFastICA根据声信号的广义高斯性特征，自适应地选择非线性函数g建立代价函数和迭代学习规则，使得算法对混合信号的分离程度更高。实验结果表明，泄漏信号和支管流致噪声均是超高斯信号，经C-EFastICA分解得到的源泄漏信号对漏点的定位相对误差低于12%，低于传统同类的C-FastICA技术。

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	刘名杨
	杨进
	郑伟
	樊恩东

关键词 ：泄漏检测, 支管流致噪声, C-EFastICA, C-FastICA

Abstract：The water supply network has a large number of branch pipes. The fluid flow state changes under the action of the branch joint, which produces a fluid noise. This branch flow-induced noise couples with the leak sound signal through the pipe wall. Aiming at the leak location under the interference of branch flow-induced noise. The proposed C-EFastICA algorithm based on EFastICA, which expanded the cost function, constraint function, and iteration rules of the instantaneous linear EFastICA technology in the time domain to the complex-valued domain. Because the algorithm can adaptively select the nonlinear function g to establish the cost function and iterative learning rules according to the generalized Gaussian characteristics of the signal, it has a higher separation precision for signal decomposition. The experiments show that the relative error of the obtained leak source signal with C-EFastICA is less than 12%, which is lower than the traditional C-FastICA algorithm.

Key words： Leak detection branch noise C-EFastICA C-FastICA

收稿日期: 2021-01-18 出版日期: 2022-05-15

引用本文:

刘名杨，杨进，郑伟，樊恩东. 支管流致噪声干扰下的复值域EFastICA管道泄漏声定位技术研究[J]. 振动与冲击, 2022, 41(9): 51-58.
LIU Mingyang, YANG Jin, ZHENG Wei, FAN Endong. Complex domain EFastICA pipeline leakage acoustic localization technology under branch pipe flow-induced noise interference. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(9): 51-58.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2022/V41/I9/51

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