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