De-Noising Signal of Electromagnetic Flowmeter Based on Wavelet Transform

Tie Jun Liu; Yin Jia Chen

doi:10.4028/www.scientific.net/AMM.220-223.2144

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223De-Noising Signal of Electromagnetic Flowmeter...

De-Noising Signal of Electromagnetic Flowmeter Based on Wavelet Transform

Abstract:

A Software filter technique based on Haar wavelet is proposed for effectively suppressing the noise components in the signal of electromagnet flow transducer. It is proved with computer simulation based on MATLAB Wavelet Toolbox that the proposed filter technique is well matched with the feature of the signal of the electromagnetic flow transducer in effectiveness and efficiency. A prototype flowmeter was developed based on the proposed technique, experimental result with the prototype shows that the proposed Haar wavelet filter technique is well suitable for de-noising the signal of electromagnetic flow meter.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

2144-2149

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.2144

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Online since:

November 2012

Authors:

Tie Jun Liu, Yin Jia Chen

Keywords:

Electromagnetic Flow Transducer, Filter, Haar Wavelet, MATLAB Simulation

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References

[1] J.A, Shercliff: The Theory of Electro-magnetic Flow Measurement(Cambridge University Press, London 1962), pp.1-65

Google Scholar

[2] M.K. Bevir: J. Fluid Mech., vol.43(1970),pp.577-590

Google Scholar

[3] M.K. Bevir, V.T. O'sullivan and D.G. Wyatt: J. Phys. D:Appl. Phys. , vol.14(1981), pp.373-388

Google Scholar

[4] C.Rosales, M.L. Sanderson: Flow measurement instrumentation,vol.14(2003),pp.97-108

Google Scholar

[5] J.Hemp, M.L. Sanderson, A.V. Koptius:Flow Measurement Instrumentation, vol.13(2003), p.143

Google Scholar

[6] A.Michalski: IEEE Transactions on Instrumentation and Measurement,50 (3)(2001), pp.764-767

Google Scholar

[7] K. Kuromori, Sh. Goto, Y. Matsunaga: Proc. 5th International IMEKO Conference on Flow Measurement(1989), p.135

Google Scholar

[8] Jun Yao, Weikang Li and Bin Li: Proceedings of 2011 Chinese Control and Decision Conference, Mianyang, China(2011), pp.3564-3567

Google Scholar

[9] J. Polo:IEEE Transactions on Instrumentation and Measurement,51 (4)(2002) , pp.793-797

Google Scholar

[10] Yan Yi: IEEE Instrumentation and Measurement Technology Conference. Warsaw , Poland (2007), pp.1-3

Google Scholar

[11] Albert Boggess and Francis J. Narcowich: A First Course in Wavelets with Fourier Analysis. Second Edition (Publishing House of Electronics Industry, China 2010), pp.68-79

Google Scholar

[12] I.Daubechies: IEEE Trans. Inform. Theory, 36(5)(1990),pp.961-1005

Google Scholar

[13] C. Zanchettin, T.B. Ludemir: Applied Soft Computing,vol.7(2007), pp.246-256

Google Scholar

[14] Beylkin, G., Coifman, R., and Rokhlin,V. : Wavelets in Numerical Analysis in Wavelets and Their Applications (Jones and Bartlett, New York 1992), pp.181-210

Google Scholar