DocumentCode
498919
Title
Wavelet analysis of vortex signal
Author
Sun, Hong-Jun ; Qu, Wei-jie
Author_Institution
Coll. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Volume
3
fYear
2009
fDate
12-15 July 2009
Firstpage
1628
Lastpage
1633
Abstract
Vortex signal is a kind of single frequency sine wave signal which is often noised. Comparing with the algorithms of time-frequency analysis, Wavelet analysis method is perfected in process of filtering and frequency detecting. This paper uses wavelet analysis method to denoise and detect both simulation signal and vortex signal, the symletA wavelet is selected to be the original wavelet; the number of decomposition levels is decided by ratio of approximation coefficients standard deviation and detail coefficients standard deviation; the frequency is detected by the new peak search method based on mathematical statistics. The final results show that using wavelet analysis method, vortex signal frequency can be detected almost up to the theoretical low limit of vortex flowmeter.
Keywords
filtering theory; flowmeters; signal denoising; signal detection; vortices; wavelet transforms; approximation coefficients standard deviation ratio; filtering process; frequency detection; mathematical statistics; search method; signal denoising; simulation signal detection; single frequency sine wave signal; time-frequency analysis; vortex flowmeter; vortex signal; wavelet analysis method; Algorithm design and analysis; Cybernetics; Frequency; Machine learning; Signal analysis; Signal detection; Spectral analysis; Statistical analysis; Wavelet analysis; Wavelet transforms; Decomposition levels; Mathematics statistics; Vortex; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212312
Filename
5212312
Link To Document