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Mechanize feature-to-feature matching system utilizing repeated inspection data

The advances of computational methods and tools can greatly support other areas in doing tasks from the most tedious or repetitive to the most complex. In this paper, these advances were manipulated in civil structures maintenance specifically in pipeline corrosion assessment. This paper describes m...

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Main Authors: Mat Din, Mazura, Mohd. Noor, Norhazilan, Ngadi, Md. Asri
Format: Article
Language:English
Published: Penerbit UTM Press 2008
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/11007/1/MazuraMatDin2008_FeatureToFeatureMatching.pdf
http://eprints.utm.my/id/eprint/11007/
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spelling my.utm.110072017-11-01T04:17:22Z http://eprints.utm.my/id/eprint/11007/ Mechanize feature-to-feature matching system utilizing repeated inspection data Mat Din, Mazura Mohd. Noor, Norhazilan Ngadi, Md. Asri QA75 Electronic computers. Computer science The advances of computational methods and tools can greatly support other areas in doing tasks from the most tedious or repetitive to the most complex. In this paper, these advances were manipulated in civil structures maintenance specifically in pipeline corrosion assessment. This paper describes mechanize method developed to automatically detect and quantitY important parameters for future prediction of corrosion growth using In-line inspection (Ill) data. The focal process in this system includes data conversion, data filtering, parameter tolerance or sizing configuration, matching, and data trimming. A sensitivity analysis using linear regression method was used to correlates defects from one inspection to the next. Issues and advantage gain from this mechanize system is threefold~ Firstly, timeliness (manual matching procedure consumed a great deal of time). Secondly, accuracy and consistencies in data sampling (current implementation, different researcher obtain a different number of sample even though the method used in matching were the same), and finally, reduction of data matching error (manual matching was prone to human error due to the masses of inspection data to be match. Furthermore this method is impractical when facing the large amount of real inspection data). Penerbit UTM Press 2008-12 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/11007/1/MazuraMatDin2008_FeatureToFeatureMatching.pdf Mat Din, Mazura and Mohd. Noor, Norhazilan and Ngadi, Md. Asri (2008) Mechanize feature-to-feature matching system utilizing repeated inspection data. Jurnal Teknologi Maklumat, 20 (3). pp. 102-119. ISSN 0128-3790
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mat Din, Mazura
Mohd. Noor, Norhazilan
Ngadi, Md. Asri
Mechanize feature-to-feature matching system utilizing repeated inspection data
description The advances of computational methods and tools can greatly support other areas in doing tasks from the most tedious or repetitive to the most complex. In this paper, these advances were manipulated in civil structures maintenance specifically in pipeline corrosion assessment. This paper describes mechanize method developed to automatically detect and quantitY important parameters for future prediction of corrosion growth using In-line inspection (Ill) data. The focal process in this system includes data conversion, data filtering, parameter tolerance or sizing configuration, matching, and data trimming. A sensitivity analysis using linear regression method was used to correlates defects from one inspection to the next. Issues and advantage gain from this mechanize system is threefold~ Firstly, timeliness (manual matching procedure consumed a great deal of time). Secondly, accuracy and consistencies in data sampling (current implementation, different researcher obtain a different number of sample even though the method used in matching were the same), and finally, reduction of data matching error (manual matching was prone to human error due to the masses of inspection data to be match. Furthermore this method is impractical when facing the large amount of real inspection data).
format Article
author Mat Din, Mazura
Mohd. Noor, Norhazilan
Ngadi, Md. Asri
author_facet Mat Din, Mazura
Mohd. Noor, Norhazilan
Ngadi, Md. Asri
author_sort Mat Din, Mazura
title Mechanize feature-to-feature matching system utilizing repeated inspection data
title_short Mechanize feature-to-feature matching system utilizing repeated inspection data
title_full Mechanize feature-to-feature matching system utilizing repeated inspection data
title_fullStr Mechanize feature-to-feature matching system utilizing repeated inspection data
title_full_unstemmed Mechanize feature-to-feature matching system utilizing repeated inspection data
title_sort mechanize feature-to-feature matching system utilizing repeated inspection data
publisher Penerbit UTM Press
publishDate 2008
url http://eprints.utm.my/id/eprint/11007/1/MazuraMatDin2008_FeatureToFeatureMatching.pdf
http://eprints.utm.my/id/eprint/11007/
_version_ 1643645558132310016
score 13.211869

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