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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 |
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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 |
Downloads: | 0 |
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