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A methodology for calculating sample size to assess localized corrosion of process components


Khalifa, M and Khan, F and Haddara, M, A methodology for calculating sample size to assess localized corrosion of process components, Journal of Loss Prevention in the Process Industries, 25, (1) pp. 70-80. ISSN 0950-4230 (2012) [Refereed Article]

DOI: doi:10.1016/j.jlp.2011.07.004


This paper proposes a methodology to estimate the required sample size to assess, with a specified precision, the localized corrosion of process components. The proposed methodology uses the extreme value and bootstrap methods. The results of estimated sample size ensure that the predicted maximum localized corrosion with the extreme value method is within an acceptable margin of error at a specified confidence level. Using the results of the proposed methodology, an equation is introduced to calculate sample size as a function of the acceptable margin of error, the population size, the standard deviation of corrosion data and the required confidence level. The probability of exceedance of critical limit of localized corrosion is also estimated. The methodology is explained through a case study of localized corrosion in process piping. © 2011 Elsevier Ltd.

Item Details

Item Type:Refereed Article
Keywords:Bootstrap; Extreme value method; Gumbel probability distribution; Inspection; Localized corrosion; Sample size; Bootstrap; Bootstrap method; Confidence levels; Critical limit; Extreme value; In-process; Localized corrosion; Margin of error; Sampling
Research Division:Engineering
Research Group:Maritime engineering
Research Field:Ocean engineering
Objective Division:Mineral Resources (Excl. Energy Resources)
Objective Group:Environmentally sustainable mineral resource activities
Objective Field:Environmentally sustainable mineral resource activities not elsewhere classified
UTAS Author:Khan, F (Professor Faisal Khan)
ID Code:94531
Year Published:2012
Web of Science® Times Cited:8
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2014-09-11
Last Modified:2014-09-11

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