Systems Dependability Assessment

Regular price €172.30
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Jean-Francois Aubry
A01=Mohammed-Habib Mazouni
A01=Nicolae Brinzei
Author_Jean-Francois Aubry
Author_Mohammed-Habib Mazouni
Author_Nicolae Brinzei
Category=KCH
Category=PBWH
compactness
dynamics
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
expression
extensions
firing
introduction
invariants
languages
markings
model
models
nets
order
petri
properties
short review
state
submodels
synchronization
transition

Product details

  • ISBN 9781848219915
  • Weight: 567g
  • Dimensions: 164 x 241mm
  • Publication Date: 12 Feb 2016
  • Publisher: ISTE Ltd and John Wiley & Sons Inc
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

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.

Jean-François Aubry is Professor Emeritus at the University of Lorraine, France. His research interests include control systems and safety engineering, dynamic reliability and the dependability assessment of systems.

Nicolae Brinzei is Associate Professor at the University of Lorraine, France. His research interests include stochastic modeling of systems for dependability and dynamic reliability assessment.

Mohammed-Habib Mazouni is a System Architect at Alstom Transport, appointed as a system engineering senior expert. His research interests include complex systems engineering, advanced CBTC signaling, processing and tools, design, safety, verification and validation.

More from this author