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Probabilistic Safety Assessment and Management pp 681–686Cite as

Implementation of hybrid Petri nets — Lessons learned from their application to a SMR unit

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Abstract

Hybrid Petri nets have been developed to benefit from the modeling capabilities of Petri nets while accounting for the impact of continuous process variables on the firing of transitions, as modeled by the dynamic reliability theory. This paper presents the systematic implementation of hybrid Petri nets on a complex industrial system and highlights some technical difficulties encountered while performing this task.

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References

  1. Chabot J.L., Ducamp F., Mattéi J.M., Signoret J.P., Joulain P. and Hutinet T. Hybrid Monte-Carlo simulation using Petri-nets and fire code for analysing fire scenarios in nuclear power plants. Proceedings of PSAM-IV, 1998, 2: 867–871

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Author information

Authors and Affiliations

  1. Service de Métrologie Nucléaire, Université Libre de Bruxelles, Bruxelles, Belgium

    Céline Kermisch & Pierre-Etienne Labeau

  2. Emmanuel Lardeux, Air Liquide, Jouy en Josas, France

    Céline Kermisch & Pierre-Etienne Labeau

  3. Jean-Luc Chabot, CEA CESTA, Le Barp, France

    Céline Kermisch & Pierre-Etienne Labeau

  4. Research Associate, National Fund for Scientific Research, Belgium

    Pierre-Etienne Labeau

Authors
  1. Céline Kermisch
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  2. Pierre-Etienne Labeau
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Editor information

Editors and Affiliations

  1. TÜV Süddeutschland, Dudenstrasse 28, D-68167, Mannheim, Germany

    Cornelia Spitzer Dipl.-Math.

  2. Swiss Federal Nuclear Safety Inspectorate (HSK), CH-5232, Villigen-HSK, Switzerland

    Ulrich Schmocker PhD

  3. Paul Scherrer Institut (PSI), CH-5232, Villigen PSI, Switzerland

    Vinh N. Dang PhD

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© 2004 Springer-Verlag London

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Kermisch, C., Labeau, PE. (2004). Implementation of hybrid Petri nets — Lessons learned from their application to a SMR unit. 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_111

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  • DOI: https://doi.org/10.1007/978-0-85729-410-4_111

  • 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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