DocumentCode
3582987
Title
Digital signal processing based on wavelet and statistics method for vortex flowmeters
Author
Sun, Hong-Jun ; Zhang, Tao
Author_Institution
Sch. of Electr. Eng. & Autom., Tianjin Univ., China
Volume
5
fYear
2004
Firstpage
3160
Abstract
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.
Keywords
flowmeters; signal processing; statistical analysis; vortices; wavelet transforms; digital signal processing algorithm; mathematical tools; statistics method; vortex flowmeters; wavelet transform method; Band pass filters; Detectors; Digital signal processing; Frequency measurement; Noise measurement; Signal analysis; Signal processing; Signal processing algorithms; Statistics; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1378578
Filename
1378578
Link To Document