A tomography imaging system using two types of sensors
Process tomography is a technique to realize flow imaging in a process vessel or pipeline by using the sensor system. This technique involves using tomographic imaging methods to manipulate data from sensors in order to collect sufficient information about the flow in the pipeline. This project is a...
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2008
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TK Electrical engineering Electronics Nuclear engineering Elmajri, Mustafa Musbah A tomography imaging system using two types of sensors |
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Process tomography is a technique to realize flow imaging in a process vessel or pipeline by using the sensor system. This technique involves using tomographic imaging methods to manipulate data from sensors in order to collect sufficient information about the flow in the pipeline. This project is about the construction of a simple imaging system using two types of sensors namely optical sensors and electrodes (forming electrodynamic sensors) with halogen bulbs as light sources. These sensors complement each other. The images from both sensors can be analyzed to determine the precise distribution of objects in the pipe. The sensors are suitably arranged around an 80mm x 80mm x 40mm transparent square pipe. The amount of sensors must be sufficient so that the accuracy and resolution of the image is good. The more sensors used the better as it enhanced the resolution and provide an accurate image of the object distribution. The sensors are connected to simple signal conditioning circuits which are then linked to a data acquisition system (DAS). The DAS is then connected to a computer which then displays the images of objects flowing in a pipe detected by the system. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Elmajri, Mustafa Musbah |
| author_facet |
Elmajri, Mustafa Musbah |
| author_sort |
Elmajri, Mustafa Musbah |
| title |
A tomography imaging system using two types of sensors |
| title_short |
A tomography imaging system using two types of sensors |
| title_full |
A tomography imaging system using two types of sensors |
| title_fullStr |
A tomography imaging system using two types of sensors |
| title_full_unstemmed |
A tomography imaging system using two types of sensors |
| title_sort |
tomography imaging system using two types of sensors |
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Universiti Teknologi Malaysia, Faculty of Electrical Engineering |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2008 |
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http://eprints.utm.my/id/eprint/9664/1/MustafaMusbahElmajriMFKE2008.pdf |
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my-utm-ep.96642018-07-19T01:53:20Z A tomography imaging system using two types of sensors 2008-05 Elmajri, Mustafa Musbah TK Electrical engineering. Electronics Nuclear engineering Process tomography is a technique to realize flow imaging in a process vessel or pipeline by using the sensor system. This technique involves using tomographic imaging methods to manipulate data from sensors in order to collect sufficient information about the flow in the pipeline. This project is about the construction of a simple imaging system using two types of sensors namely optical sensors and electrodes (forming electrodynamic sensors) with halogen bulbs as light sources. These sensors complement each other. The images from both sensors can be analyzed to determine the precise distribution of objects in the pipe. The sensors are suitably arranged around an 80mm x 80mm x 40mm transparent square pipe. The amount of sensors must be sufficient so that the accuracy and resolution of the image is good. The more sensors used the better as it enhanced the resolution and provide an accurate image of the object distribution. The sensors are connected to simple signal conditioning circuits which are then linked to a data acquisition system (DAS). The DAS is then connected to a computer which then displays the images of objects flowing in a pipe detected by the system. 2008-05 Thesis http://eprints.utm.my/id/eprint/9664/ http://eprints.utm.my/id/eprint/9664/1/MustafaMusbahElmajriMFKE2008.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering Chan Kok San (2002). “Real Time Image Reconstruction for Fan Beam Optical Tomography System�. Universiti Teknologi Malaysia: B.Eng. Thesis. Hakilo Ahmed Sabit (2005). “Flow Regime Identification Of Particles Conveying In Pneumatic Pipeline Using Electric Charge Tomography And Neural Network Techniques�. Universiti Teknologi Malaysia: Master Eng. Thesis. Daniels, A.R. (1996). “Dual Modality Tomography for the Monitoring of Constituent Volumes in Multi-Component Flows�. Sheffield Hallam University: Ph.D. Thesis. Dyakowski T. (1996) “Process tomography applied to multi-phase flow measurement�. Meas. Sci. Technol., 7, pp.343-353. Mazidah Binti Tajjudin (2005). “Fan Beam Optical Tomography�. Universiti Teknologi Malaysia, Master Eng. Thesis. Mohamad Zakuan Bin Hassan (2006). “Optical Tomography For Measuring Solid Flow�. Universiti Teknologi Malaysia: B.Eng. Thesis. Mohd Amri B Md Yunus (2005). “Imaging Of Solid Flow In a Gravity Flow Rig Using Infra-Red Tomography�. Universiti Teknologi Malaysia, Master Eng. Thesis. Mohd Fua’ad Rahmat (1996). “Instrumentation Of Particle Conveying Using Electrical Charge Tomogaphy� Sheffield Hallam University: Ph.D. Thesis. R. Abdul Rahim, K.S. Chan, J.F. Pang, L.C.Leong (2004b). “Optical Tomography System Using Switch mode Fan Beam Projection: Modeling Techniques�. R. Abdul Rahim, N. Horbury, F.J. Dickin, R.G. Green, B.D. Naylor, T.P. Pridmore, (1995). “Optical Fibre Sensor for Process Tomography use on Pneumatic Conveyors�. R. A. Williams, M. S. Beck, (1995). Principles, techniques and applications�. Butterworth-Hienemann Ltd. Sallehuddin Ibrahim. (2000). “Measurement of gas bubbles in a vertical water column using optical tomography�. Ph.D Thesis, Sheffield Hallam University. S. Ibrahim, R.G. Green, K. Dutton and Abdul Rahim R. (2000). “Application Of Optical Tomography in Industrial Process Control System�. IEEE. 493 – 498. S. Ibrahim, R.G.Green, K.Dutton, R. Abdul Rahim, K.Evans and A.Goude. (1999). “Optical sensor configurations for Process Tomography�. Meas.Sci. Teachnol. 1079-1086. S.F.A. Bukhari and W.Q. Yang, (2004). “Tomographic Imaging Technique for Oil Separator Control. 3rd International Symposium on Process Tomography�. Poland. Wang, M., Dorward, A., Vlaev, D, and Mann, R. (1999), “Measurement of gasliquid mixing in a stirred vessel using electrical resistance tomography (ERT) Proceedings of the 1st World Congress on Industrial Process Tomography�, Buxton, UK.78-83. Yang, W.Q. and Peng, L. (2003). “Image reconstruction algorithms for electrical capacitance tomography�. Meas. Sci. Technol Journal. Vol.14.P.R1-R13. Yvette Shaan-Li Susiapan 2007. “A Flame Imaging System Using Optical Sensors�. Universiti Teknologi Malaysia, Master Eng. Thesis. |