Signal and Risk Analysis
The activities concern the development and application of methods of signal, reliability and risk analysis for fault diagnostics, prognostics, maintenance, reliability, safety, vulnerability of nuclear and other industrial components and systems.
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)
Contacts:
Prof. Enrico Zio
phone: +39 02 2399 6340
mail: enrico.zio(at)polimi.it
Web: www.lasar.polimi.it
The activities concern the development and application of methods of signal, reliability and risk analysis for fault diagnostics, prognostics, maintenance, reliability, safety, vulnerability of nuclear and other industrial components and systems.
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)
Staff
Enrico ZIO
Ibrahim AHMED
Piero BARALDI
Francesco DI MAIO
Federico ANTONELLO - Phd Student
Milani EFTEKHARI - Research fellow
Giovanni FLOREALE - Phd Student
Zhojun HAO - Phd Student
Arash HOSSEINPOUR
Chenyang LAI - Phd Student
Chen MEI
Lida NASEH MOGHANLOU- Phd Student
Luca PINCIROLI - Phd Student
Dario VALCAMONICO - Phd Student
Bingsen WANG - Phd Student
Research Group Laboratories
Laboratory of Signal and Risk Analysis - LASAR
Energy Data and Information Lab-- EDIL