Two phase medium identification using ultrasonic tomography technique

The use of tomographic techniques has been widely used in pipeline and oil industry. These techniques have potential applications for flow visualization and measurement in producing wells. One of the important processes is in multiphase characterization; that serve in monitoring, measuring or con...

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Main Author:	Mohd Rizal, Manan
Format:	Thesis
Language:	English
Subjects:	Ultrasonic tomography Tomography Liquid and gas flow Multiphase flow Tomography technique
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31304/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31304/2/Full%20text.pdf
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spelling	my-unimap-313042014-01-19T08:28:56Z Two phase medium identification using ultrasonic tomography technique Mohd Rizal, Manan The use of tomographic techniques has been widely used in pipeline and oil industry. These techniques have potential applications for flow visualization and measurement in producing wells. One of the important processes is in multiphase characterization; that serve in monitoring, measuring or controlling industrial processes. Multiphase represents the condition of more than one medium phase. The identification for two phase medium is carried out in this research. Research on industrial tomography process revolved in obtaining estimated images in cross section of a pipe or vessel containing or carrying the substances in the process. Ultrasonic tomography technique is one of the categories in process tomography. A simple tomography system can be built by mounting a number of sensors around the circumference of a horizontal pipe. In this research, sixteen pairs of 40 kHz ultrasonic sensor have been non-invasively mounted around the pipe. The characteristic of the sensor is an important factor that needs to be considered. Grease was used as the coupling material to mount these ultrasonic sensors. The output data from the sensors were processed to obtain the information of the spatial distributions of liquid and gas in an experimental column. Time of Flag (TOF) method has been chosen to extract the data from the ultrasonic signals. Analysis on the transducers’ signals has been carried out to distinguish the observation time between the longitunal (straight) propagation waves and the Lamb waves. The information obtained from the observation time is useful for further development of the images. The Linear Back Projection (LBP) algorithm has been applied to obtain concentration profiles or also called tomograms. The results obtained through LBP were filtered using Gaussian Filter and Enhancement Filter Technique. From the filtered images, further development was made by extracting features information such as mean, standard deviation, skewness, kurtosis, energy and entropy. Two approaches were applied for classification purposes using single and combination of features. Comparison between K-Nearest Neighbor (k-NN) and Linear Discriminant Analysis (LDA) classifiers have been made. From the observation, non-linear classifier (k-NN) produced a better result over linear classifier (LDA). Furthermore, it has been found that combination of features gives better performance over single feature classification. Universiti Malaysia Perlis (UniMAP) 2013 Thesis en http://dspace.unimap.edu.my:80/dspace/handle/123456789/31304 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31304/1/Page%201-24.pdf 384e8d942e6e9c6c90909d4c66810482 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31304/2/Full%20text.pdf 4857069054ea80b2726ca7d9713e32d9 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31304/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Ultrasonic tomography Tomography Liquid and gas flow Multiphase flow Tomography technique School of Mechatronic Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
topic	Ultrasonic tomography Tomography Liquid and gas flow Multiphase flow Tomography technique
spellingShingle	Ultrasonic tomography Tomography Liquid and gas flow Multiphase flow Tomography technique Mohd Rizal, Manan Two phase medium identification using ultrasonic tomography technique
description	The use of tomographic techniques has been widely used in pipeline and oil industry. These techniques have potential applications for flow visualization and measurement in producing wells. One of the important processes is in multiphase characterization; that serve in monitoring, measuring or controlling industrial processes. Multiphase represents the condition of more than one medium phase. The identification for two phase medium is carried out in this research. Research on industrial tomography process revolved in obtaining estimated images in cross section of a pipe or vessel containing or carrying the substances in the process. Ultrasonic tomography technique is one of the categories in process tomography. A simple tomography system can be built by mounting a number of sensors around the circumference of a horizontal pipe. In this research, sixteen pairs of 40 kHz ultrasonic sensor have been non-invasively mounted around the pipe. The characteristic of the sensor is an important factor that needs to be considered. Grease was used as the coupling material to mount these ultrasonic sensors. The output data from the sensors were processed to obtain the information of the spatial distributions of liquid and gas in an experimental column. Time of Flag (TOF) method has been chosen to extract the data from the ultrasonic signals. Analysis on the transducers’ signals has been carried out to distinguish the observation time between the longitunal (straight) propagation waves and the Lamb waves. The information obtained from the observation time is useful for further development of the images. The Linear Back Projection (LBP) algorithm has been applied to obtain concentration profiles or also called tomograms. The results obtained through LBP were filtered using Gaussian Filter and Enhancement Filter Technique. From the filtered images, further development was made by extracting features information such as mean, standard deviation, skewness, kurtosis, energy and entropy. Two approaches were applied for classification purposes using single and combination of features. Comparison between K-Nearest Neighbor (k-NN) and Linear Discriminant Analysis (LDA) classifiers have been made. From the observation, non-linear classifier (k-NN) produced a better result over linear classifier (LDA). Furthermore, it has been found that combination of features gives better performance over single feature classification.
format	Thesis
author	Mohd Rizal, Manan
author_facet	Mohd Rizal, Manan
author_sort	Mohd Rizal, Manan
title	Two phase medium identification using ultrasonic tomography technique
title_short	Two phase medium identification using ultrasonic tomography technique
title_full	Two phase medium identification using ultrasonic tomography technique
title_fullStr	Two phase medium identification using ultrasonic tomography technique
title_full_unstemmed	Two phase medium identification using ultrasonic tomography technique
title_sort	two phase medium identification using ultrasonic tomography technique
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Mechatronic Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31304/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31304/2/Full%20text.pdf
_version_	1747836791189143552

Two phase medium identification using ultrasonic tomography technique

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