The 8th International Conference on System Reliability and Safety
Sicily, Italy - November 20-22, 2024

Nicolae Brinzei, University of Lorraine, Research Center for Automatic Control of Nancy (CRAN)

 

Nicolae Brînzei received the Engineering Diploma in Manufacturing Engineering from the “Politehnica” University of Timisoara (Romania) and the M.S. and PhD. Degrees in Control and Computer Sciences from the University of Technology of Belfort-Montbéliard (France). Presently, he is associate professor at the University of Lorraine (France) His research work takes place at the Research Center for Automatic Control of Nancy (CRAN), a joint laboratory of UL and CNRS.
Dr Brînzei’s research focusses on the modelling and assessment of systems dependability and reliability by means of discrete event systems and probabilistic approaches. He develops approaches based on Boolean algebra and Hasse diagram for systems described by structure function, and Markov chains or stochastic Petri nets, in case of dynamical systems. He is also interested in dynamic reliability and develops works on stochastic hybrid automata and Monte-Carlo simulation.

He is also member of European Safety and Reliability Association (ESRA) and of French Institute of Risk Management (IMdR). Within them, he chairs the technical committee on “Mathematical Methods in Reliability and Safety” (ESRA) and the working group “Methodological research” (IMdR).

Speech Title: Systems reliability and safety based on stochastic Petri nets

Abstract: The complex behaviour of dynamic systems, such as automated control systems, requires taking into account the complex interactions between the system components, their possible reconfigurations, the multi-state behaviour of its components and of the whole system, complex maintenance policies with resource sharing (e.g. repairmen), availability of spare parts ... Different classes of Petri nets are able to model such dynamic and complex phenomena and also to give safety and reliability analysis and their probabilistic assessment. In this lecture, we will focus on Stochastic Petri nets which are one of the most common representations of functional and dysfunctional behaviour of system and its components. We will present the dynamic behavior of Stochastic Petri nets, their ability to assess system performances such as safety and reliability measures. To assess these measures, two approaches can be considered: an analytical approach based on Markov chain theory, or an approach based on Monte-Carlo simulation. Both approaches are discussed and compared. Coloured Petri Nets will be also presented and their ability to model large complex systems. Some applications to real industrial systems will also be presented.