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A Method for Deriving Feared Scenarios in Hybrid Systems

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Probabilistic Safety Assessment and Management
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  • 9 Citations

Abstract

The long-term objective is to evaluate the dynamic reliability of mechatronic systems. We propose in this paper a new version of the algorithm that allows deriving critical scenarios from a Petri net model. It is more accurate because it takes into account some continuous aspects of the system. These scenarios characterise how the system leaves the normal operation to go to the feared state by determining the sequences of actions and state changes leading to a dangerous situations.

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References

  1. Lee, W. S.; Grosh, D. L.; Tillman, F. A., Lie, C. H., «Fault tree analysis, methods, and applications — A review », IEEE Transactions on Reliability, August 1, 1985; ISSN 0018-9529; r-34, page 194-203.

    Google Scholar 

  2. Chris J. Garret, Sergio B. Guarro, George E. APOSTOLAKIS, «The Dynamic Flowgraph Methodology for Assessing the Dependability of Embedded Software Systems », IEEE Transactions On Systems, Man, and Cybernetics, Vol. 25, No. 5, May 1995.

    Google Scholar 

  3. F. Dufour, Y. Dutuit, “Dynamic Reliability: A new model”, λμ13-ESREL2002 European Coférence, Lyon-France-18 au 21 Mars 2002.

    Google Scholar 

  4. P.E. Labeau: “A Survey on Monte Carlo Estimation of Small Failure Risks in Dynamic Reliability”. In International Journal of Electronics and Communications, Vol. 52, pp. 205–211, 1998.

    Google Scholar 

  5. R. Champagnat, P. Esteban, H. Pingaud, R. Valette, “Modelling and simulation of a hybrid system through PrITr PN DAE model”, ADPM’98 3rd International Conference on Automation of Mixed Processes, 19-20 March 1998, Reims, France p. 131–137.

    Google Scholar 

  6. H. Demmou, S. Khalfaoui, N. Rivière, E. Guilhem, “Extracting critical scenarios from a Petri net model using linear logic” Journal

    Google Scholar 

  7. S. Khalfaoui, H. Demmou, E. Guilhem, R. Valette “An algorithm for deriving critical scenarios in mechatronic systems” IEEE SMC (System Man and Cybernetic”2002, 6-9 October, Hammamet Tunisie

    Google Scholar 

  8. J.Y Girard, “Linear Logic”, Theoretical Computer Science, 50, 1987, p. 1–102.

    Article  MATH  MathSciNet  Google Scholar 

  9. B. Pradin-Chézalviel, R. Valette, L.A. Künzle: Scenario duration characterization of t-timed Petri nets using linear logic, IEEE PNPM’99, 8th International Workshop on Petri Nets and Performance Models, Zaragoza, Spain, September 6-10, 1999, p.208–217.

    Google Scholar 

  10. S. Khalfaoui, E.Guilhem, H. Demmou, R. Valette, “Une méthode pour obtenir des scénarios critiques dans les systèmes mécatroniques”, λμ13-ESREL2002 European Conférence, Lyon-France-18 au 21 mars 2002.

    Google Scholar 

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© 2004 Springer-Verlag London

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Medjoudj, M., Khalfaoui, S., Demmou, H., Valette, R. (2004). A Method for Deriving Feared Scenarios in Hybrid Systems. 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_300

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  • DOI: https://doi.org/10.1007/978-0-85729-410-4_300

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1057-6

  • Online ISBN: 978-0-85729-410-4

  • eBook Packages: Springer Book Archive

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