Francesco Cadini
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An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability
F Cadini, F Santos, E Zio
Reliability Engineering & System Safety 131, 109-117, 2014
Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks
C Sbarufatti, M Corbetta, M Giglio, F Cadini
Journal of Power Sources 344, 128-140, 2017
A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions
F Cadini, GL Agliardi, E Zio
Applied energy 185, 267-279, 2017
Monte Carlo-based filtering for fatigue crack growth estimation
F Cadini, E Zio, D Avram
Probabilistic Engineering Mechanics 24 (3), 367-373, 2009
Model-based and data-driven prognostics under different available information
P Baraldi, F Cadini, F Mangili, E Zio
Probabilistic Engineering Mechanics 32, 66-79, 2013
State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters
F Cadini, C Sbarufatti, F Cancelliere, M Giglio
Applied energy 235, 661-672, 2019
Model-based Monte Carlo state estimation for condition-based component replacement
F Cadini, E Zio, D Avram
Reliability Engineering & System Safety 94 (3), 752-758, 2009
Using centrality measures to rank the importance of the components of a complex network infrastructure
F Cadini, E Zio, CA Petrescu
International Workshop on Critical Information Infrastructures Security, 155-167, 2008
Polynomial chaos expansion for global sensitivity analysis applied to a model of radionuclide migration in a randomly heterogeneous aquifer
V Ciriello, V Di Federico, M Riva, F Cadini, J De Sanctis, E Zio, ...
Stochastic Environmental Research and Risk Assessment 27, 945-954, 2013
Optimal expansion of an existing electrical power transmission network by multi-objective genetic algorithms
F Cadini, E Zio, CA Petrescu
Reliability Engineering & System Safety 95 (3), 173-181, 2010
Electrical and topological drivers of the cascading failure dynamics in power transmission networks
A Azzolin, L Dueñas-Osorio, F Cadini, E Zio
Reliability Engineering & System Safety 175, 196-206, 2018
Shape sensing and damage identification with iFEM on a composite structure subjected to impact damage and non-trivial boundary conditions
L Colombo, D Oboe, C Sbarufatti, F Cadini, S Russo, M Giglio
Mechanical Systems and Signal Processing 148, 107163, 2021
Subset simulation of a reliability model for radioactive waste repository performance assessment
F Cadini, D Avram, N Pedroni, E Zio
Reliability Engineering & System Safety 100, 75-83, 2012
A Bayesian Monte Carlo-based algorithm for the estimation of small failure probabilities of systems affected by uncertainties
F Cadini, A Gioletta
Reliability Engineering & System Safety 153, 15-27, 2016
Estimation of rare event probabilities in power transmission networks subject to cascading failures
F Cadini, GL Agliardi, E Zio
Reliability Engineering & System Safety 158, 9-20, 2017
Simulating the dynamics of the neutron flux in a nuclear reactor by locally recurrent neural networks
F Cadini, E Zio, N Pedroni
Annals of Nuclear Energy 34 (6), 483-495, 2007
A Monte Carlo method for the model-based estimation of nuclear reactor dynamics
F Cadini, E Zio
Annals of Nuclear Energy 34 (10), 773-781, 2007
Improved metamodel-based importance sampling for the performance assessment of radioactive waste repositories
F Cadini, A Gioletta, E Zio
Reliability Engineering & System Safety 134, 188-197, 2015
Genetic algorithm optimization of a model-free fuzzy control system
M Marseguerra, E Zio, F Cadini
Annals of Nuclear Energy 32 (7), 712-728, 2005
Biased Monte Carlo unavailability analysis for systems with time-dependent failure rates
M Marseguerra, E Zio, F Cadini
Reliability Engineering & System Safety 76 (1), 11-17, 2002
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