Application of neural network technique and electrodynamic sensors in the identification of solid flow regimes
Imaging of industrial processes have been accomplished with better efficiency and better control since the introduction of process tomography in several industries. This technique enables a deeper look into the internal conditions of a process without invading the process. In tomographic techniques,...
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| Format: | Article |
| Language: | English English |
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Penerbit UTM Press
2007
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| Online Access: | http://eprints.utm.my/8043/1/MohdFuaadRahmat2007_ApplicationofNeuralNetworkTechniqueandElectrodynamic.pdf http://eprints.utm.my/8043/2/296 |
| _version_ | 1796854324063633408 |
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| author | Rahmat, Mohd. Fua'ad Sabit, Hakilo Amed |
| author_facet | Rahmat, Mohd. Fua'ad Sabit, Hakilo Amed |
| author_sort | Rahmat, Mohd. Fua'ad |
| collection | ePrints |
| description | Imaging of industrial processes have been accomplished with better efficiency and better control since the introduction of process tomography in several industries. This technique enables a deeper look into the internal conditions of a process without invading the process. In tomographic techniques, process information such as the distribution and velocity of the particles conveying at a particular plane can be obtained by placing sensors around the periphery of the plane. This paper is a continuation of a previous paper entitled Flow Regime Identification Using Neural Network-based Electrodynamic Tomography System in Jurnal Teknologi 40(D). This paper presents the results of sensors output in comparison to that of prediction models, concentration profiles and flow regimes identification obtained from the system described in the previous paper. |
| first_indexed | 2024-03-05T18:12:36Z |
| format | Article |
| id | utm.eprints-8043 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English English |
| last_indexed | 2024-03-05T18:12:36Z |
| publishDate | 2007 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-80432017-11-01T04:17:27Z http://eprints.utm.my/8043/ Application of neural network technique and electrodynamic sensors in the identification of solid flow regimes Rahmat, Mohd. Fua'ad Sabit, Hakilo Amed T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Imaging of industrial processes have been accomplished with better efficiency and better control since the introduction of process tomography in several industries. This technique enables a deeper look into the internal conditions of a process without invading the process. In tomographic techniques, process information such as the distribution and velocity of the particles conveying at a particular plane can be obtained by placing sensors around the periphery of the plane. This paper is a continuation of a previous paper entitled Flow Regime Identification Using Neural Network-based Electrodynamic Tomography System in Jurnal Teknologi 40(D). This paper presents the results of sensors output in comparison to that of prediction models, concentration profiles and flow regimes identification obtained from the system described in the previous paper. Penerbit UTM Press 2007-06 Article PeerReviewed application/pdf en http://eprints.utm.my/8043/1/MohdFuaadRahmat2007_ApplicationofNeuralNetworkTechniqueandElectrodynamic.pdf text/html en http://eprints.utm.my/8043/2/296 Rahmat, Mohd. Fua'ad and Sabit, Hakilo Amed (2007) Application of neural network technique and electrodynamic sensors in the identification of solid flow regimes. Jurnal Teknologi, 46 (D). pp. 77-92. ISSN 0127-9696 DOI:10.11113/jt.v46.296 |
| spellingShingle | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Rahmat, Mohd. Fua'ad Sabit, Hakilo Amed Application of neural network technique and electrodynamic sensors in the identification of solid flow regimes |
| title | Application of neural network technique and electrodynamic sensors in the identification of solid flow regimes
|
| title_full | Application of neural network technique and electrodynamic sensors in the identification of solid flow regimes
|
| title_fullStr | Application of neural network technique and electrodynamic sensors in the identification of solid flow regimes
|
| title_full_unstemmed | Application of neural network technique and electrodynamic sensors in the identification of solid flow regimes
|
| title_short | Application of neural network technique and electrodynamic sensors in the identification of solid flow regimes
|
| title_sort | application of neural network technique and electrodynamic sensors in the identification of solid flow regimes |
| topic | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/8043/1/MohdFuaadRahmat2007_ApplicationofNeuralNetworkTechniqueandElectrodynamic.pdf http://eprints.utm.my/8043/2/296 |
| work_keys_str_mv | AT rahmatmohdfuaad applicationofneuralnetworktechniqueandelectrodynamicsensorsintheidentificationofsolidflowregimes AT sabithakiloamed applicationofneuralnetworktechniqueandelectrodynamicsensorsintheidentificationofsolidflowregimes |