The APPRODYN Project: Dynamic Reliability Approaches to Modeling Critical Systems
Jean‐François Aubry, Génia Babykina, Nicolae Brînzei, Slimane Medjaher, Anne Barros, Christophe Bérenguer, Antoine Grall, Yves Langeron, Danh Ngọc Nguyen, Gilles Deleuze, Benoîte de Saporta, François Dufour, Huilong Zhang · 2012
The safety of high criticity industrial systems relies heavily on relatively complex program systems (with regards to code size, architecture, number of variables examined, etc.). Due to the complexity of the interactions between physical processes and their control, the standard methods of safety assessment are limited. This chapter aims to test some dynamic reliability approaches that are used to support the probabilistic study of critical instrumentation and control systems' safety assessment in process manufacturing and energy industries. It focuses on potentially strong approaches that are not commonly used by safety and design engineers or operator manufacturers. The chapter evaluates the potential of these approaches by using a representative case study and comparing them with wider diffusion approaches, such as Stochastic Petri nets (SPNs). Project APPRODYN allows us to experiment with different dynamic reliability approaches within the context of probabilistic assessments, particularly in the case of energy production and process industries. Controlled Vocabulary Terms control systems; design engineering; Petri nets; safety systems