By Topic

Improved Inspection Data Quality Using Modified Corrosion Rate Method for Offshore Pipeline Assessment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Din, M.M. ; Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai, Malaysia ; Ngadi, M.A. ; Razak, K.A. ; Noor, N.M.

Data quality is crucial to any data analysis task. Information collected from many channels prone to disturbance, inconsistent, missing values and redundant information. In our case, these errors arise in metal loss data collected at different point of time using dissimilar sensors and devices in offshore pipeline structure. Furthermore, data collection and analysis are often time consuming and expensive making it undesirable for recollection. Thus, rather than discard the corrupted data, we need to evaluate and enhanced its quality by correcting the errors as much as possible. In this paper, we discuss how data is pre-processed by means of correcting the data to make it ready for further analysis. A modified corrosion rate method was used to enhance the quality of data coupled with a linear prediction method to verify the accuracy of the corrected data. Result shows that the proposed method can minimize the effects of uncertainties on the reliability of the inspection data.

Published in:

Computer Technology and Development, 2009. ICCTD '09. International Conference on  (Volume:1 )

Date of Conference:

13-15 Nov. 2009