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Bayesian sample size determination for inspection of general corrosion of process components

Citation

Khalifa, M and Khan, F and Haddara, M, Bayesian sample size determination for inspection of general corrosion of process components, Journal of Loss Prevention in the Process Industries, 25, (1) pp. 218-223. ISSN 0950-4230 (2012) [Refereed Article]

DOI: doi:10.1016/j.jlp.2011.08.001

Abstract

A Bayesian approach-based method is proposed for calculating the minimum size of a sample to assess, with a specified precision, the integrity of process components suffering from general corrosion. The proposed method ensures that the error in the posterior estimate of the mean does not exceed a pre-defined acceptable margin of error at a specified confidence level. An analytical formula to estimate the sample size is introduced. The sample size obtained using the proposed method is smaller than a sample size obtained using the classical method with same confidence level. This reduces sampling inspection cost without affecting the precision of the estimate. © 2011 Elsevier Ltd.

Item Details

Item Type:Refereed Article
Keywords:Bayesian updating; Corrosion; Inspection; Posterior distribution; Prior; Sample size; Analytical formulas; Bayesian updating; Classical methods; Confidence levels; General corrosion; Inspection costs; Margin of error; Posterior distributions; Prior
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
Author:Khan, F (Professor Faisal Khan)
ID Code:94561
Year Published:2012
Web of Science® Times Cited:3
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2014-09-11
Last Modified:2014-09-11
Downloads:0

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