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基于提升小波时延估计的气液两相流流速测量
引用本文:汪剑鸣,李博,王琦,李秀艳,段晓杰,王化祥. 基于提升小波时延估计的气液两相流流速测量[J]. 仪器仪表学报, 2017, 38(3): 653-663
作者姓名:汪剑鸣  李博  王琦  李秀艳  段晓杰  王化祥
作者单位:天津工业大学计算机科学与软件学院天津300387,1.天津工业大学计算机科学与软件学院天津300387;2. 天津工业大学机械工程学院天津300387,天津工业大学电子与信息工程学院天津300387,天津工业大学电子与信息工程学院天津300387,天津工业大学电子与信息工程学院天津300387,天津大学电气工程与自动化学院天津300072
基金项目:国家自然科学基金(61402330,61405143,61373104)、高等学校博士学科点专项科研基金(20131201120002)、天津市高等学校科技发展基金计划(2012ZD03)项目资助
摘    要:利用双截面ERT系统测量气液两相流流速具有高实时性、非侵入测量等优势,并将流速测量问题转化为信号处理中的时延估计问题。由于气液两相流信号大多是非平稳的,因此利用传统互相方法计算时延会出现相关函数曲线多峰值现象,导致流速计算结果严重偏差。为提高流速测量的精度和稳定性,本文出了一种基于提升小波的时延估计算法。该算法基于基小波二次加权理论,利用改进阈值函数提升小波算法对源信号进行去噪,再通过形态学提升小波对互相关计算结果去噪,实现流速精确测量。

关 键 词:两相流;提升小波;时延估计;流速测量

Measurement of gas/liquid two phase flow velocity based on lifting wavelet time delay estimation
Wang Jianming,Li Bo,Wang Qi,Li Xiuyan,Duan Xiaojie and Wang Huaxiang. Measurement of gas/liquid two phase flow velocity based on lifting wavelet time delay estimation[J]. Chinese Journal of Scientific Instrument, 2017, 38(3): 653-663
Authors:Wang Jianming  Li Bo  Wang Qi  Li Xiuyan  Duan Xiaojie  Wang Huaxiang
Affiliation:School of Computer Science and Software ,Tianjin Ploytechnic University, Tianjin 300387,China,1.School of Computer Science and Software ,Tianjin Ploytechnic University, Tianjin 300387,China; 2.School of Mechanic Engineering,Tianjin Ploytechnic University, Tianjin 300387,China,School of Electronic and Information Engineering ,Tianjin PloytechnicUniversity, Tianjin 300387,China,School of Electronic and Information Engineering ,Tianjin PloytechnicUniversity, Tianjin 300387,China,School of Electronic and Information Engineering ,Tianjin PloytechnicUniversity, Tianjin 300387,China and School of Electronic Engineering and Automation, Tianjin University,Tianjin 300072, China
Abstract:By adopting two section ERT system, the Gas liquid two phase velocity measurement is tramsformed into time delay estimation, due to the ERT has the advantages of high real time and non intrusive measuring. The Gas liquid two phase flow signals are mostly non stationary, hence, cross correlation analysis with traditional time delay algorithms will bring multi modal function which leeds to a serious deviation of two phase velocity measurement. Aiming to improve measuring accurancy and stability, a novel time delay estimationalgorithm is proposed with the lifting wavelet. Based on re weighting method with mother wavelets, the improved threshold lifting wavelet function removes the noise of the raw signal, and the Morphological Lifting Wavelet is utilized to denoise the lagging correlation between the upstream and downstream for time delay estimation to obtain the accurate velocity result.
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