传感技术学报2017，Vol.30Issue(1)：101-108,8.DOI:10.3969/j.issn.1004-1699.2017.01.019
采用SVD-NMF的管道泄漏信号去噪算法
SVD-NMF Based Denoising Algorithm for Pipeline Leak Signal
肖楠 1李健 1肖启阳1
作者信息
- 1. 天津大学 精密测试技术与仪器国家重点实验室，天津300072
- 折叠
摘要
Abstract
In the pipeline leak detection,noise in pressure signals decrease the location accuracy of traditional cross￣correlation method. The traditional denoising algorithm cannot adapt to environment, and the effect is not good. Therefore,a denoising algorithm for pipeline leakage signal based on nonnegative matrix factorization ( NMF ) combined with singular value decomposition( SVD) is proposed. The leak signals are decomposed by singular value decomposition to determine the NMF’s order and initialize the matrix. The improved NMF algorithm is adopted to factorize the original signals and denoised signals are obtained. The time delay is calculated by cross￣correlation method,and the leak location is accomplished with the combination of the stress wave velocity. Experimental results show that the SVD￣NMF algorithm can reduce the number of iterations and enhance the speed of denoising signifi￣cantly. In the application of leak detection,the algorithm can remove noise and improve the location accuracy.关键词
管道泄漏定位/非负矩阵分解(NMF)/奇异值分解(SVD)/互相关/负压波Key words
pipeline leak location/NMF/SVD/cross￣correlation/negative pressure wave分类
信息技术与安全科学引用本文复制引用
肖楠,李健,肖启阳..采用SVD-NMF的管道泄漏信号去噪算法[J].传感技术学报,2017,30(1):101-108,8.
