Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques

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Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques

Solid particles flow in a pipeline is a common means of transportation in industries. Pharmaceutical industries, food stuff manufacturing industries, cement and chemical industries are some of the industries to exploit this transportation technique. For such industries, monitoring and controlling ma...

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Bibliographic Details
Main Author:	Ahmed Sabit, Hakilo
Format:	Thesis
Language:	English
Published:	2006
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/5146/ http://eprints.utm.my/5146/1/HakiloAhmedSabitMFKE2006.pdf

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