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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2008
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| Online Access: | http://eprints.utm.my/11007/ http://eprints.utm.my/11007/1/MazuraMatDin2008_FeatureToFeatureMatching.pdf |
| _version_ | 1848892234055811072 |
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| 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 |
| building | UTeM Institutional Repository |
| collection | Online Access |
| 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). |
| first_indexed | 2025-11-15T21:10:37Z |
| format | Article |
| id | utm-11007 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T21:10:37Z |
| publishDate | 2008 |
| publisher | Penerbit UTM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-110072017-11-01T04:17:22Z http://eprints.utm.my/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/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 |
| 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 |
| title | 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_short | Mechanize feature-to-feature matching system utilizing repeated inspection data |
| title_sort | mechanize feature-to-feature matching system utilizing repeated inspection data |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/11007/ http://eprints.utm.my/11007/1/MazuraMatDin2008_FeatureToFeatureMatching.pdf |