Digital signal processing based on wavelet and statistics method for vortex flowmeters

被引：3

作者：

Sun, HJ ^{[1
]}

Zhang, T ^{[1
]}

机构：

[1] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China

来源：

PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年

关键词：

signal processing; wavelet; statistics method; vortex flowmeter;

D O I：

10.1109/ICMLC.2004.1378578

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

When vortex flowmeters work at low velocity of flow, the frequency of vortex is rather low, and the amplitude of the signal is also. small. In this paper, a digital signal processing algorithm based on wavelet and statistics method is presented. In the algorithm, two powerful mathematical tools--wavelet transform method and statistic method are combined to check out the frequency of the signal of the vortex flowmeter which has been submerged under the noises, and simulation results prove its feasibility.

引用

页码：3160 / 3163

页数：4

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