Abstract
In this chapter, we shall illustrate some applications of MCS applied to system reliability analysis. First, the power of MCS for realistic system modeling is shown with regard to a problem of estimating the production availability of an offshore plant, accounting for its operative rules and maintenance procedures [1]. Then, the application of MCS for sensitivity and importance analysis [1, 2] is illustrated.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zio, E., Baraldi, P., & Patelli, E. (2006). Assessment of the availability of an offshore installation by Monte Carlo simulation. International Journal of Pressure Vessel and Piping, 83, 312–320.
Marseguerra, M., & Zio, E. (2004). Monte Carlo estimation of the differential importance measure: Application to the protection system of a nuclear reactor. Reliability Safety and System Safety, 86, 11–24.
Cheok, M. C., Parry, G. W., & Sherry, R. R. (1998). Use of importance measures in risk informed regulatory applications. Reliability Engineering and System Safety, 60, 213–226.
Henley, E. J., & Kumamoto, H. (1991). Probabilistic risk assessment. New York: IEEE Press.
Wall, I. B., Worledge, D. H. (1996, September 29–October 3). Some perspectives on risk importance measures. In Proceedings of PSA’96, Park City, Utah.
Borgonovo, E., & Apostolakis, G. E. (2001). A new importance measure for risk-informed decision making. Reliability Engineering and System Safety, 72, 193–212.
NUREG/CR. (1987, April). Risk evaluations of aging phenomena: The linear aging reliability model and its extension. US Nuclear Regulatory Commission.
Wash-1400 (NUREG75/014). (1975). Reactor safety study. An assessment of accidents risk in U.S. commercial nuclear power plants. Appendix 2: Fault trees.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2013 Springer-Verlag London
About this chapter
Cite this chapter
Zio, E. (2013). Practical Applications of Monte Carlo Simulation for System Reliability Analysis. In: The Monte Carlo Simulation Method for System Reliability and Risk Analysis. Springer Series in Reliability Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-4588-2_5
Download citation
DOI: https://doi.org/10.1007/978-1-4471-4588-2_5
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-4587-5
Online ISBN: 978-1-4471-4588-2
eBook Packages: EngineeringEngineering (R0)