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Systems Dependability Assessment - Benefits of Petri Net Models (Hardcover)
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Systems Dependability Assessment - Benefits of Petri Net Models (Hardcover)
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Petri Nets were defined for the study of discrete events systems
and later extended for many purposes including dependability
assessment. In our knowledge, no book deals specifically with the
use of different type of PN to dependability. We propose in
addition to 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 too 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.
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