Universiti Teknologi Malaysia Institutional Repository

Improving inspection data quality in pipeline corrosion assessment

Mat Din, Mazura and Ngadi, Md. Asri and Mohd. Noor, Norhazilan (2009) Improving inspection data quality in pipeline corrosion assessment. In: Proceedings of 2009 International Conference on Computer Engineering and Applications. World Acad Union-World Acad Press, pp. 440-444. ISBN 978-1-84626-017-9

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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 improved the quality of In-line inspection (ILI) data by automatically detect and quantify important parameters for future prediction of corrosion growth. 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: timeliness, accuracy and consistencies in data sampling.

Item Type:Book Section
Additional Information:Conference: International Conference on Computer Engineering and Applications Location: Manila, Philippines Date: Jun 06-08, 2009
Uncontrolled Keywords:mechanize matching system, ILI data, sensitivity analysis
Subjects:H Social Sciences > HE Transportation and Communications
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:15112
Deposited By: Zalinda Shuratman
Deposited On:30 Sep 2011 15:07
Last Modified:30 Sep 2011 15:07

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