Development Of Pipeline Corrosion Inspection System Using Machine Vision

These days, utilization of camera as an inspection tool has been expanded. The flexible function of camera is adequate to obtain different kind of information. In Cawley (2001) review on NDT that was presented in 2001, Radiography, Ultrasonic, Eddy Current, Magnetic Particle, and Penetrant Testing w...

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Main Author: Idris, Syahril Anuar
Format: Thesis
Language:English
English
Published: 2016
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Online Access:http://eprints.utem.edu.my/id/eprint/20463/1/Development%20Of%20Pipeline%20Corrosion%20Inspection%20System%20Using%20Machine%20Vision.pdf
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http://eprints.utem.edu.my/id/eprint/20463/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=105854
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
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spelling my.utem.eprints.204632021-10-10T22:47:10Z http://eprints.utem.edu.my/id/eprint/20463/ Development Of Pipeline Corrosion Inspection System Using Machine Vision Idris, Syahril Anuar T Technology (General) TA Engineering (General). Civil engineering (General) These days, utilization of camera as an inspection tool has been expanded. The flexible function of camera is adequate to obtain different kind of information. In Cawley (2001) review on NDT that was presented in 2001, Radiography, Ultrasonic, Eddy Current, Magnetic Particle, and Penetrant Testing were the top five techniques dominating the NDT market yet Visual Inspection is the most widely applied. Even though the popularity of visual inspection is higher compared to other NDT method, but due to the reliability issues it is often used together with other methods. This research work is focusing on developing a robust corrosion inspection system based on vision sensor that is able to accurately detect and classify corrosion based on the appearance features. By installing at an early stage, inspection system would be able to gather data and at the same time identify and analyse the collected data. Through the results, the analysed data is able to classify the corrosion type based on appearance. From the research work, the method of using image enhancement filters to improve accuracy of vision corrosion inspection system is identified. The detection of each macroscopic surface corrosion types; galvanic; crevice; erosion; pitting and exfoliation using vision inspection able to achieve 79% accuracy using the simulated dataset. The new method of corrosion inspection operation which able to generate prevention plan has qualified the Vision Corrosion Inspection System to be used during preliminary inspection. It is expected that the Vision Corrosion Inspection System can improve vision inspection as the pioneer in NDT method for corrosion inspection. In addition, framework of the developed Vision Corrosion Inspection system is applicable for other applications of vision inspection whereby it can be applied for other inspection process or extending its application to other problems. 2016 Thesis NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/20463/1/Development%20Of%20Pipeline%20Corrosion%20Inspection%20System%20Using%20Machine%20Vision.pdf text en http://eprints.utem.edu.my/id/eprint/20463/2/Development%20Of%20Pipeline%20Corrosion%20Inspection%20System%20Using%20Machine%20Vision.pdf Idris, Syahril Anuar (2016) Development Of Pipeline Corrosion Inspection System Using Machine Vision. Doctoral thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=105854
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Idris, Syahril Anuar
Development Of Pipeline Corrosion Inspection System Using Machine Vision
description These days, utilization of camera as an inspection tool has been expanded. The flexible function of camera is adequate to obtain different kind of information. In Cawley (2001) review on NDT that was presented in 2001, Radiography, Ultrasonic, Eddy Current, Magnetic Particle, and Penetrant Testing were the top five techniques dominating the NDT market yet Visual Inspection is the most widely applied. Even though the popularity of visual inspection is higher compared to other NDT method, but due to the reliability issues it is often used together with other methods. This research work is focusing on developing a robust corrosion inspection system based on vision sensor that is able to accurately detect and classify corrosion based on the appearance features. By installing at an early stage, inspection system would be able to gather data and at the same time identify and analyse the collected data. Through the results, the analysed data is able to classify the corrosion type based on appearance. From the research work, the method of using image enhancement filters to improve accuracy of vision corrosion inspection system is identified. The detection of each macroscopic surface corrosion types; galvanic; crevice; erosion; pitting and exfoliation using vision inspection able to achieve 79% accuracy using the simulated dataset. The new method of corrosion inspection operation which able to generate prevention plan has qualified the Vision Corrosion Inspection System to be used during preliminary inspection. It is expected that the Vision Corrosion Inspection System can improve vision inspection as the pioneer in NDT method for corrosion inspection. In addition, framework of the developed Vision Corrosion Inspection system is applicable for other applications of vision inspection whereby it can be applied for other inspection process or extending its application to other problems.
format Thesis
author Idris, Syahril Anuar
author_facet Idris, Syahril Anuar
author_sort Idris, Syahril Anuar
title Development Of Pipeline Corrosion Inspection System Using Machine Vision
title_short Development Of Pipeline Corrosion Inspection System Using Machine Vision
title_full Development Of Pipeline Corrosion Inspection System Using Machine Vision
title_fullStr Development Of Pipeline Corrosion Inspection System Using Machine Vision
title_full_unstemmed Development Of Pipeline Corrosion Inspection System Using Machine Vision
title_sort development of pipeline corrosion inspection system using machine vision
publishDate 2016
url http://eprints.utem.edu.my/id/eprint/20463/1/Development%20Of%20Pipeline%20Corrosion%20Inspection%20System%20Using%20Machine%20Vision.pdf
http://eprints.utem.edu.my/id/eprint/20463/2/Development%20Of%20Pipeline%20Corrosion%20Inspection%20System%20Using%20Machine%20Vision.pdf
http://eprints.utem.edu.my/id/eprint/20463/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=105854
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