Neural Computation For Flow Regime Classification Based On Electrical Capacitance Tomography.

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Neural Computation For Flow Regime Classification Based On Electrical Capacitance Tomography.

Recognition of gas-liquid flow regimes in pipelines is important in an industrial control process such as for oil production. In oil production, gas-liquid flows are normally concealed in a pipe the actual type of flows cannot be easily determined. Also, obtaining measurements corresponding to the...

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Bibliographic Details
Main Authors:	Mat-Dan, A. A., Mohamad-Saleh, J, Ahmad, M. A.
Format:	Conference or Workshop Item
Language:	English
Published:	2004
Subjects:	TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Online Access:	http://eprints.usm.my/8612/ http://eprints.usm.my/8612/1/Neural_Computation_for_Flow_Regime_Classification_Based_on_Electrical_%28PPKEElektronik%29_2004.pdf

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