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Flow regime identification using neural network based electrodynamic tomography system

Rahmat , Mohd fua’ad and Hakilo, Ahmed sabit (2004) Flow regime identification using neural network based electrodynamic tomography system. Jurnal Teknologi, 40 . pp. 109-118.

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Abstract

Process tomography is a low cost, efficient and non-invasive industrial process imaging technique. It is used in many industries for process imaging and measuring. Provided that appropriate sensing mechanism is used, process tomography can be used in processes involving solids, liquids, gases, and any of their mixtures. In this paper, the process to be imaged and measured involves solid particles flow in gravity drop system. Electrical charge tomography or electrodynamic tomography is a tomographic technique using electrodynamic sensors. This paper presents the flow regime identification using neural network.

Item Type:Article
Uncontrolled Keywords:Process tomography, neural network, electrodynamic sensor, identification
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Civil Engineering
ID Code:12798
Deposited By: S.N.Shahira Dahari
Deposited On:30 Jun 2011 02:00
Last Modified:30 Jun 2011 02:00

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