Abstract
Application of Markovian models in the reliability analysis of dynamic systems is presented. In the context of the paper dynamic systems are systems whose stochastic behavior is changing with time. The reliability of control/safety systems coupled with the dynamics of protected or controlled systems is also analyzed. Markovian models are compared with static logic models like fault/event trees.
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
Howard, R.: Dynamic Probabilistic Systems. Vols. I and H, Wiley (1971)
Kemeny, J.G. and Snell, J.L.: Finite Markov Chains. D. Van Nostrand (1961)
Lees, F.: Loss Prevention in the Process Industries. Vol. 1, Butter-worths, Guilford, UK, 1986, Chapter 7
Henley, E. and Kumamoto, H.: Reliability Engineering and Risk Assessment. Prentice-Hall (1981)
Shooman, M.D.: Probabilistic Reliability: An Engineering Approach. McGraw-Hill (1969)
Singh, C. and Billinton, R.: System Reliability Modeling and Evaluation. Hutchinson, London (1977)
Dhillon, B.S. and Singh, C.: Engineering Reliability: New Techniques and Applications. Wiley (1981)
Endernyi, J.: Reliability Modeling in Electric Power Systems. Wiley (1978)
Blin, A., Camino, A. and Georgin, J.P.: Use of Markov Processes for Reliability Problems. In Synthesis and Analysis Methods for Safety and Reliability Studies. G. Apostolakis, S. Garriba, and G. Volta (eds) Plenum Press (1980)
Papazoglou, I.A. and Gyftopoulos, E.P.: Markovian Reliability Analysis Under Uncertainty with an Application on the Shutdown System of the Clinch River Breeder Reactor. Nuclear Science and Engineering 1980, 73, 1
Papazoglou, I.A. and Gyftopoulos, E.P.: Markov Processes for Reliability Analysis of Large Systems. IEEE Trans. Reliability 1977, R26, 232
Papazoglou, I.A.: Elements of Markovian Reliability Analysis. In Reliability Engineering. A. Amendola and A. Saiz deBustamante (eds) Kluwer Academic Publishers (1988), pp 171–204
Papazoglou, I.A. and Aneziris, O.: Reliability of On-line versus Standby Safety Systems in Process Plants.. I. Loss Prey. Processes Ind. 1990, Vol 3, 212
Papazoglou, I.A.: On the Need of Markovian Reliability Analysis. In Probabilistic Safety Assessment and Management. G. Apostolakis (ed.) Elsevier (1991), pp 1413–1418
Apostolakis, G. and Chu, T.L.: The Unavailability of Systems Under Periodic Test and Maintenance. Nuclear Technology 1980, 50, 5
Aldemir, T.: Computer-Assisted Markov Failure Modeling of Process Control Systems. IEEE Trans. Reliability 1987, R-36, No 1, 133
Aldemir T.: Utilization of the Cell Mapping Technique to Construct Markov Failure Modes for Process Control Systems. In Probabilistic Safety Assessment and Management. G. Apostolakis (ed) Elsevier (1991)
Devooght, J, Smidts, C.: Probabilistic Reactor Dynamics I. The theory of continuous event trees. Nuclear Science and Engineering 1992
Smidts, C, Devooght, J.: Probabilistic Reactor Dynamics II A Monte Carlo study of a fast reactor transient. Nuclear Science and Engineering 1992
Devooght, J, Smidts, C.: Probabilistic Reactor Dynamics III. A framework for time dependent interaction between operator and reactor during a transient involving human errors. Nuclear Science and Engineering 1992.
Papazoglou, I. A, Anezirs, O.: Reliability of Control Systems in Chemical Plants. Proc. ESREL-93, Munich, 1993
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1994 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Papazoglou, I.A. (1994). Markovian Reliability Analysis of Dynamic Systems. In: Aldemir, T., Siu, N.O., Mosleh, A., Cacciabue, P.C., Göktepe, B.G. (eds) Reliability and Safety Assessment of Dynamic Process Systems. NATO ASI Series, vol 120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03041-7_3
Download citation
DOI: https://doi.org/10.1007/978-3-662-03041-7_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-08178-1
Online ISBN: 978-3-662-03041-7
eBook Packages: Springer Book Archive