中南大学学报（自然科学版）2013，Vol.44Issue(4)：1684-1688,5.
基于Burg法AR模型谱估计的涡街流量计旋涡脱落频率提取
Extraction of vortex flowmeter frequency by Burg algorithm based AR model spectral estimation
摘要
Abstract
The Burg algorithm based AR model spectral estimation was used to analyze the output signals of a vortex flowmeter within water flow rates from 3 to 35 m3/h, to extract the vortex shedding frequency from noisy signals accurately and effectively. The effect of the AR model's order on the estimation of vortex shedding frequency was discussed. A fitting correlation was established between the minimum AR model's order and the vortex shedding frequency with an error of 3%. The results show that the accuracy of the vortex shedding frequency extracted is high by the Burg algorithm based AR model spectral estimation. The AR model's order has a marked influence on the spectral estimation accuracy and the computation efficiency of Burg algorithm, which suggests that an appropriate order be selected to estimate the vortex shedding frequency from vortex flowmeter output signals. The minimum AR model's order decreases with the increase of vortex shedding frequency.关键词
涡街流量计/旋涡脱落频率/谱估计/AR模型/Burg算法Key words
vortex flowmeter/ vortex shedding frequency/ spectral estimation/ AR model/ Burg algorithm分类
能源科技引用本文复制引用
孙志强,陈延平..基于Burg法AR模型谱估计的涡街流量计旋涡脱落频率提取[J].中南大学学报（自然科学版）,2013,44(4):1684-1688,5.基金项目
国家自然科学基金资助项目(51006125) （51006125）
中南大学研究生学位论文创新基金资助项目(2010ssxt182) （2010ssxt182）
