—Advances in computing technology, and data gathering tools provides a great opportunity in engineering area such as civil structure analysis domain to better understand its phenomenon. Our case study utilize these advances in pipeline structure in order to study the corrosion behavior that been one of the problem that leads to its failure. The availability of ILI data from MFL tools provides a better insight of corrosion process by using an efficient systems and data analysis method in order to extract important information regarding the condition of the pipeline. Our paper will discuss an implementation of automated matching systems and data correctional method that shown a promising result to improve the quality of data for future reliability assessment. The automated matching systems was evaluated using linear regression method for its sensitivity analysis whereby a modified corrosion rate method was used along with linear prediction method to verify the accuracy of the corrected data. Issues and advantage gain from this research is threefold; timeliness, accuracy, and consistencies in data sampling. This is a preliminary work towards a reliable pipeline assessment method.
—Automated matching systems, corrosion analysis, modified corrosion rate method, reliability assessment
Mazura Mat Din, Md Asri Ngadi, and Maheyzah Md Siraj is with the Faculty of Computer Science and Information System, Universiti Teknologi Malaysia, 81310 Skudai Johor, Malaysia. (phone: +607 5532245; fax: +607 5593185; e-mail: mazura, dr.asri,maheyzah@ utm.my).
Norhazilan Mohd Noor and Khadijah Abd. Razak is with the Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Skudai Johor, Malaysia. (phone: +607 5531626; e-mail: norhazilan@ utm.my).
Cite: Mazura Mat Din, Norhazilan Md. Noor, Md. Asri Ngadi, Khadijah Abd. Razak and Maheyzah Md Siraj, "Automated Matching Systems and Correctional Method for Improved Inspection Data Quality," International Journal of Computer Theory and Engineering
vol. 3, no. 2, pp. 248-254, 2011.