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 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
UTAS 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
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