Universiti Teknologi Malaysia Institutional Repository

Improved inspection data quality using modified corrosion rate method for offshore pipeline assessment

Mat Din, Mazura and Ngadi, Md. Asri and Abdul Razak, Khadijah and Md. Noor, Norhazilan (2009) Improved inspection data quality using modified corrosion rate method for offshore pipeline assessment. In: The 2009 International Conference on Computer Technology and Development (ICCTD 2009), 2009, Kota Kinabalu, Malaysia.

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Official URL: http://dx.doi.org/10.1109/ICCTD.2009.62

Abstract

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.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.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:15288
Deposited By: Liza Porijo
Deposited On:22 Sep 2011 09:49
Last Modified:22 Sep 2011 09:49

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