Laboratory of Signal and Risk Analisys (LASAR)
The activities concern the development and application of methods and models for:
- data processing: statistic data, for modeling degradation, failure, component and system maintenance
- monitored data, for the identification, diagnosis and prognostics of component and system failures
- system analysis for the reliability, risk and resilience of complex industrial systems and critical infrastructures
The adopted approaches are computational and innovative, based on data (big data) and physical knowledge:
- Monte Carlo simulation (subset and line sampling, particle filtering)
- classification, regression and prediction with artificial intelligence techniques (kriging, neural networks, deep learning, extreme learning machines, reservoir computing, support vector machine, fuzzy and spectral clustering)
- decision-making (portfolio decision analysis, reinforcement learning)
- optimization (genetic algorithms, differential evolution)
Location:
Dipartimento di Energia - Politecnico di Milano - campus Bovisa
via La Masa, 34 (building B12)
20156 Milano - ITALY
Contacts: Enrico Zio
phone: +39 02 2399 6340
mail: enrico.zio(at)poilimi.it
Web: www.lasar.polimi.it
Staff
- Baraldi Piero
- Di Maio Francesco
- Zio Enrico