Online monitoring of nonaxisymmetric flow profile with a multielectrode inductance flowmeter

Xu, Lijun, Wang, Ya, Dong, Feng, Yan, Yong (2003) Online monitoring of nonaxisymmetric flow profile with a multielectrode inductance flowmeter. In: Instrumentation and Measurement Technology Conference, 2003. IMTC '03. Proceedings of the 20th IEEE (Volume:2 ). 2. pp. 1541-1546. ISBN 0-7803-7705-2. (doi:10.1109/IMTC.2003.1208008) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Official URL
http://dx.doi.org/10.1109/IMTC.2003.1208008

Abstract

A modified filtered backprojection (FBP) algorithm based on S-L filter function is developed to monitor the velocity profile of nonaxisymmetric flow inside a circular pipe with a multielectrode electromagnetic flowmeter (EMF). This algorithm is simpler than the singular value decomposition and pseudo-inverse based algorithms and fast enough to be used in online monitoring of flow profile. In order to further improve its real-time performance, a simplified algorithm is also proposed. Three kinds of nonaxisymmetric flow profile, i.e. profiles with a single peak, with double peaks and with one peak and one reflux are simulated to evaluate the performance of the proposed algorithms. The projection data are obtained by solving the electric field equation. With these data the velocity profile of the pipe flow can be reconstructed using the new algorithms. The reconstructed profiles have been compared with those obtained by using simple backprojection method. Results obtained demonstrate that the algorithms can be used to monitor the velocity profile of nonaxisymmetric pipe flows.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/IMTC.2003.1208008
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 16 Mar 2015 15:16 UTC
Last Modified: 29 May 2019 14:21 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/47694 (The current URI for this page, for reference purposes)
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