SAFETY AND RISKS RESEARCH GROUP


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Our team develops new methods, frameworks and modeling architectures, techniques and algorithms, for the safety and risk analysis of complex engineered systems, based on a holistic and systemic viewpoint. The modeling, simulation and optimization methods, frameworks, architectures, techniques and algorithms that we develop, integrate a number of competences for viewing and solving the problems from the different, multidisciplinary system perspectives (topological and functional, static and dynamic, etc.) that are needed, and giving due account to the existing uncertainties. In-house softwares that implement the problem solutions found are developed and applications are done on industrial systems like aircrafts, nuclear power plants, oil and gas systems, automotive and railway transportation systems.

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PUBLICATIONS DEFENSES HISTORY MEMBERS COLLABORATIONS

TEAM HEAD

Anne BARROS

anne

anne.barros
@centralesupelec.fr

+33(0)1.75.31.69.14

Building Bouygues - Office SA279

Our research is organized around 3 main topics:


1. Energy network systems, focusing on modeling, simulation and optimization of electrical network systems. The analysis of these systems cannot be carried out only with classical methods of system decomposition and logic analysis; a framework is needed to integrate a number of methods capable of viewing the problem from different perspectives (topological and functional, static and dynamic, ...), properly treating uncertainties by probabilistic and non-probabilistic methods.

KEY FIGURES in 2018

  • 16 Members
  • 2 Research Chairs
  • 2 PhDs Completed
  • 64 Journals
  • 14 Conference papers

2. Aging and failure processes in components of energy production plants, aiming at assessing component degradation, analyzing and building maintenance solutions, and carrying out system simulation for reliability, availability, maintainability and safety (RAMS) analysis by multi-state physics, Bayesian and Markov chains models, Monte Carlo simulation. A particular focus is on failure prediction and prognostics of critical components, by data-driven approaches, e.g. adaptive artificial neural networks, support vector machines and the like.
3. Dependable embedded systems, consisting in developing concepts, methods and tools to design dependable embedded systems, with a special focus on avionic systems. The state-of-the-art Fault Tree assessment tools Aralia (now commercially distributed by Dassault Systemes) and XFTA have been created and are continuously developed and updated.

MEMBERS

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