Abstract
Cost functions, associated with the gamma process for modelling deterioration, are extended to include multiple failure modes. The application of these cost functions is demonstrated by an example in the process industry. We consider an elbow in a pipeline, which is susceptible to thinning due to corrosion and stress corrosion cracking. The optimal inspection interval and replacement levels are determined graphically and the effect of data (un)availability on the result is discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
M. J. Kallen and J. M. van Noortwijk, “Inspection and maintenance decisions based on imperfect inspections,” in Safety and Reliability — Proceedings of ESREL 2003: European Safety and Reliability Conference, June 15-18, Maastricht, the Netherlands, pp. 873-880, Swets & Zeitlinger, 2003.
S. M. Ross, Applied Probability Models with Optimization Applications. San Francisco: Holden-Day, Inc., 1970.
J. M. van Noortwijk, M. Kok, and R. M. Cooke, “Optimal maintenance decisions for the sea-bed protection of the Eastern-Scheldt barrier,” in Engineering Probabilistic Design and Maintenance for Flood Protection (R. M. Cooke, M. Mendel, and H. Vrijling, eds.), pp. 25-56, Kluwer Academic Publishers, 1997.
D. Broek, Elementary Engineering Fracture Mechanics. Alphen aan de Rijn, The Netherlands: Sijthoff & Noordhoff, 1978.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag London
About this paper
Cite this paper
Kallen, MJ., van Noortwijk, J.M. (2004). Optimal Inspection and Replacement Decisions for Multiple Failure Modes. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_391
Download citation
DOI: https://doi.org/10.1007/978-0-85729-410-4_391
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1057-6
Online ISBN: 978-0-85729-410-4
eBook Packages: Springer Book Archive