Benefits of Petri Nets Models

Petri Nets were defined for the study of discrete events systems and later extended for many purposes including dependability assessment. This unique book presents specifically the use of different types of PN to dependability. The authors bring a focus on the adequacy of Petri net types to the study of various problems related to dependability such as risk analysis and probabilistic assessment. In the first part, the basic models of PN and some useful extensions are briefly recalled. In the second part, the PN are used as a formal model to describe the evolution process of critical system in the frame of an ontological approach. The third part focuses on the stochastic Petri Nets (SPN) and their use in dependability assessment. Different formal models of SPN are formally presented (semantics, evolution rules.) and their equivalence with the corresponding class of Markov processes to get an analytical assessment of dependability. Simplification methods are proposed in order to reduce the size of analytical model and to make it more calculable. The introduction of some concepts specific to high level PN allows for the consideration of complex systems. Few applications in the field of the instrumentation and control (l&C) systems, safety integrated systems (SIS) emphasize the benefits of SPN for dependability assessment. Specifically dedicated to Petri Nets models in dependability fieldFeatures New formalism for risks analysis and Applications to control systemsPresents results issued from the author's own research works INDICE: PART I.  SHORT REVIEW OF PETRI NETS MODELING 1. Autonomous Petri nets 2. Petri Nets and event languages 3. Comparison Petri Nets - Finite State Automaton 4. Some extensions of Petri Nets 5. Conclusion PART II. A FORMAL APPROACH OF RISK ASSESSMENT 6. Introduction 7. Ontology-based accidental process 8. Petri nets modelling of the accidental process 9. Illustrative example 10. Design and safety assessment cycle 11. Conclusion PART III. STOCHASTIC PETRI NETS 12. Basic concept 13. Semantics, properties and evolution rules of a SPN 14. Simplification of complex models 15. Extensions of SPN 16. Application to instrumentation and control (I&C) systems 17. Conclusion APPENDIX

• ISBN: 978-1-78548-041-6
• Editorial: Elsevier
• Encuadernacion: Cartoné
• Páginas: 144
• Fecha Publicación: 01/12/2015
• Nº Volúmenes: 1
• Idioma: Inglés