Flow regime identification using neural network based electrodynamic tomography system
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 a...
Saved in:
Main Authors: | Rahmat, Mohd. fua’ad, Hakilo, Ahmed sabit |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2004
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/12798/1/MohdFuaadHjRahmat2004_FlowRegimeIdentificationUsingNeural.pdf http://eprints.utm.my/id/eprint/12798/ http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/408/398 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of neural network technique and electrodynamic sensors in the identification of solid flow regimes
by: Rahmat, Mohd. Fua'ad, et al.
Published: (2007) -
Flow regime identification and concentration distribution of solid particles flow in pipelines using electrodynamic tomography and artificial neural networks
by: Rahmat, Mohd. Fuaad, et al.
Published: (2005) -
Application of neural network and electrodynamic sensor as flow pattern identifier
by: Rahmat, Mohd. Fua'ad, et al.
Published: (2010) -
Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques
by: Ahmed Sabit, Hakilo
Published: (2006) -
Optical & electrodynamic sensors for dual modality tomography system
by: El Majri, Mustafa Musbah, et al.
Published: (2012)