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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| Format: | Conference or Workshop Item |
| Language: | en |
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2004
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| Online Access: | http://eprints.usm.my/8612/1/Neural_Computation_for_Flow_Regime_Classification_Based_on_Electrical_%28PPKEElektronik%29_2004.pdf http://eprints.usm.my/8612/ |
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| _version_ | 1834436813023870976 |
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| author | Mat-Dan, A. A. Mohamad-Saleh, J Ahmad, M. A. |
| author_facet | Mat-Dan, A. A. Mohamad-Saleh, J Ahmad, M. A. |
| author_sort | Mat-Dan, A. A. |
| building | Hamzah Sendut Library |
| collection | Institutional Repository |
| content_provider | Universiti Sains Malaysia |
| content_source | USM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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 flow distribution becomes almost impossible. |
| format | Conference or Workshop Item |
| id | my.usm.eprints.8612 |
| institution | Universiti Sains Malaysia |
| language | en |
| publishDate | 2004 |
| record_format | eprints |
| spelling | my.usm.eprints.8612 http://eprints.usm.my/8612/ Neural Computation For Flow Regime Classification Based On Electrical Capacitance Tomography. Mat-Dan, A. A. Mohamad-Saleh, J Ahmad, M. A. TK1-9971 Electrical engineering. Electronics. Nuclear engineering 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 flow distribution becomes almost impossible. 2004 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/8612/1/Neural_Computation_for_Flow_Regime_Classification_Based_on_Electrical_%28PPKEElektronik%29_2004.pdf Mat-Dan, A. A. and Mohamad-Saleh, J and Ahmad, M. A. (2004) Neural Computation For Flow Regime Classification Based On Electrical Capacitance Tomography. In: 1st National Postgraduate Colloquium School of Chemical Engineering, USM, 2004, School of Chemical Engineering, USM. |
| spellingShingle | TK1-9971 Electrical engineering. Electronics. Nuclear engineering Mat-Dan, A. A. Mohamad-Saleh, J Ahmad, M. A. Neural Computation For Flow Regime Classification Based On Electrical Capacitance Tomography. |
| title | Neural Computation For Flow Regime Classification Based On Electrical Capacitance Tomography. |
| title_full | Neural Computation For Flow Regime Classification Based On Electrical Capacitance Tomography. |
| title_fullStr | Neural Computation For Flow Regime Classification Based On Electrical Capacitance Tomography. |
| title_full_unstemmed | Neural Computation For Flow Regime Classification Based On Electrical Capacitance Tomography. |
| title_short | Neural Computation For Flow Regime Classification Based On Electrical Capacitance Tomography. |
| title_sort | neural computation for flow regime classification based on electrical capacitance tomography. |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/8612/1/Neural_Computation_for_Flow_Regime_Classification_Based_on_Electrical_%28PPKEElektronik%29_2004.pdf http://eprints.usm.my/8612/ |
| url_provider | http://eprints.usm.my/ |