Fundamentals of Quantitative Risk Assessment Course

Advanced Quantitative Risk & Resilience Assessment Course

ORGANIZERS

Department of Energy, Politecnico di Milano www.energia.polimi.it

Laboratory of Analysis of Signals and Analysis of Risk (LASAR) www.lasar.polimi.it

Energy Data and Information Lab (EDILAB)

SUPPORT

ARAMIS Srl, Milano, Italy www.aramis3d.com

IEEE – Reliability Society, Italian Chapter

MINES ParisTech, PSL Research University, CRC, Sophia Antipolis, France 

LASAR GROUP PRESENTATION

The LASAR (Laboratory of Signal Analysis and Risk Analysis) within the department of Energy of the Politecnico di Milano brings has expertise on Probabilistic Reliability and Safety Analysis of complex systems operating in stationary or dynamic conditions, Monte Carlo simulation modelling of the processes of failure, repair, ageing, maintenance, renovation of components, within the Reliability Availability Maintenance Safety (RAMS), dependability and resilience analysis of mechanical, aerospace, chemical, energy systems, Computational Intelligence (neural networks, genetic algorithms and fuzzy logic) for the multi-objective optimal design, operation and logistic management of complex systems, and for the identification, simulation and control of physical, chemical and thermal-hydraulic processes, with application in early fault detection, diagnostics and prognostics.