2005
DOI: 10.1016/j.ress.2004.10.004
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Optimal maintenance decisions under imperfect inspection

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Cited by 200 publications
(112 citation statements)
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“…To this scope, process industry is increasingly making use of risk analysis techniques to develop cost and/or safety optimal inspection plans [14]. Sometimes risk management is based on safety standards but, as stated by Abrahamsen et al [1], it does not give always the expected effect on safety due to budget constraints once it implies that other important measures to reduce risk are not applied.…”
Section: Risk Analysis and Rbi Methodologymentioning
confidence: 99%
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“…To this scope, process industry is increasingly making use of risk analysis techniques to develop cost and/or safety optimal inspection plans [14]. Sometimes risk management is based on safety standards but, as stated by Abrahamsen et al [1], it does not give always the expected effect on safety due to budget constraints once it implies that other important measures to reduce risk are not applied.…”
Section: Risk Analysis and Rbi Methodologymentioning
confidence: 99%
“…Kallen and Noortwijk [14] present a decision making process using an adaptive Bayesian model to determine optimal inspection plans under uncertain deterioration corrosion damage mechanism. This model was exemplified for a pressurized steel vessel.…”
Section: Typical Applications Of the Rbi Methodologymentioning
confidence: 99%
“…Since seventies, continuous gamma process models were successfully used to model data on creep of concrete (Cinlar et al, 1979), fatigue crack growth (Li, 2003), corroded steel gates , thinning due to corrosion (Kallen & Van Noortwijk, 2005), chloride ingress into concrete (Bakker, 2004), and degradation of flexural moment capacity of concrete slab subject to the corrosion (Marsh & Frangopol, 2008).…”
Section: Continous Gamma Processmentioning
confidence: 99%
“…Using the Bayes theorem, the probability density function of detectable defect size has been calculated from the overall defect size distribution (Pandey, 1997). A Bayesian decision model by Kallen and Van Noortwijk (2005) proposed to determine the optimal inspection plans under uncertain deterioration. The measurement error has been considered as imperfect inspection parameter, which has been represented as a normal distribution (Kallen & Van Noortwijk, 2005).…”
Section: Review Of Imperfect Inspection Modelsmentioning
confidence: 99%
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