摘要
为了从含噪信号中准确高效地提取出旋涡脱落频率,采用基于Burg算法的AR模型谱估计对测量介质为水、流量范围为3~35 m3/h的涡街流量计输出信号进行分析,讨论AR模型阶次对旋涡脱落频率估计性能的影响,建立频率相对误差小于3%的AR模型最小阶次与旋涡脱落频率的拟合关系式。结果表明,基于Burg算法的AR模型谱估计对涡街流量计旋涡脱落频率的提取精度较高;AR模型的阶次对Burg算法的谱估计精度和计算效率有重要影响,应选用匹配的AR模型阶次对涡街流量计输出信号进行估计;AR模型最小阶次随旋涡脱落频率的增大而减小。
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.
出处
《中南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第4期1684-1688,共5页
Journal of Central South University:Science and Technology
基金
国家自然科学基金资助项目(51006125)
中南大学研究生学位论文创新基金资助项目(2010ssxt182)
