Abstract
It is not possible to use methods such as fault tree analysis, to assess the reliability or the availability of time-evolutive systems. Stochastic processes have to be used and among them the Markov processes are the most interesting ones.
The basic theory of Markov processes is described in this paper in connection with reliability problems. Then the MARK-GE code developed by the French CEA is presented with an example of reliability assessment of a complex system: AC power supply of a 900 MW PWR.
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
Preview
Unable to display preview. Download preview PDF.
References
E. Cinlar, Introduction to stochastic processes Prentice hall, Inc. (1975).
M. Girault, Processus aléatoires. Dunod (1965).
B. Gnédenko, Y. Béliaev, A. Soloviev, Méthodes Mathématiques en théorie de la fiabilité. Editions de Moscou (1972).
M. Corazza, Techniques mathématiques de la fiabilité prévisionnelle. Cepadues Edition (1975).
M. Gondran, A. Pages, Evaluation de la fiabilité des systèmes, Eyrolles, (to be published).
A. Blin, Notice de présentation et d’utilisation du programme MARK-GE. Note Technique SETSSR n°236 (1978), (available from Département de Sûreté Nucléaire, C.E.N. Fontenay-aux-Roses B.P. 6, 92260 France).
J.F. Greppo, M. Boursier, A. Carnino, A. Blin, Détermination par une approche probabiliste, d’une règle d’exploitation des alimentations de 6,6 kV des réacteurs à eau sous pression (tranches 900 MWe). Paper I.A.E.A., SM-195/11, Vienna (1975).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1980 Plenum Press, New York
About this chapter
Cite this chapter
Blin, A., Carnino, A., Georgin, J.P., Signoret, J.P. (1980). Use of Markov Processes for Reliability Problems. In: Apostolakis, G., Garribba, S., Volta, G. (eds) Synthesis and Analysis Methods for Safety and Reliability Studies. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-3036-3_13
Download citation
DOI: https://doi.org/10.1007/978-1-4613-3036-3_13
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-3038-7
Online ISBN: 978-1-4613-3036-3
eBook Packages: Springer Book Archive