Study on Slurry Noise of Electromagnetic Flowmeter Based on ARMA Power Spectrum Estimation

Joint Authors

Gao, Song
Li, Bin

Source

Mathematical Problems in Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-10-28

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

The output signal of the electromagnetic flowmeter measuring the slurry flow will be disturbed by the slurry noise.

It is necessary to study the characteristics of slurry noise in order to reduce the interference.

The methodology for the estimation of the slurry noise power spectrum based on the ARMA model is presented in this paper, and the relation among the slurry noise, the velocity, and the concentration is obtained by means of the methodology above according to the 1/f characteristics of the slurry noise.

The results by computer simulation experiment show that if the concentration or flow velocity is increased, then slurry noise power spectral density curve in the logarithmic coordinate system will move to the upper right; if the concentration or flow velocity is reduced, then slurry noise power spectral density curve in the logarithmic coordinate system will move to the lower left.

American Psychological Association (APA)

Gao, Song& Li, Bin. 2015. Study on Slurry Noise of Electromagnetic Flowmeter Based on ARMA Power Spectrum Estimation. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1075232

Modern Language Association (MLA)

Gao, Song& Li, Bin. Study on Slurry Noise of Electromagnetic Flowmeter Based on ARMA Power Spectrum Estimation. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1075232

American Medical Association (AMA)

Gao, Song& Li, Bin. Study on Slurry Noise of Electromagnetic Flowmeter Based on ARMA Power Spectrum Estimation. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1075232

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1075232