CORBETTA, MATTEO

CORBETTA, MATTEO  

DIPARTIMENTO DI MECCANICA  

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Risultati 1 - 20 di 24 (tempo di esecuzione: 0.041 secondi).
Titolo Data di pubblicazione Autori File
Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks 1-gen-2017 SBARUFATTI, CLAUDIOCORBETTA, MATTEOGIGLIO, MARCOCADINI, FRANCESCO
A Bayesian framework for fatigue life prediction of composite laminates under co-existing matrix cracks and delamination 1-gen-2018 Corbetta, MatteoSbarufatti, ClaudioGiglio, Marco +
Continuous crack growth monitoring and residual life prediction under variable- Amplitude loading conditions 1-gen-2014 CORBETTA, MATTEOSBARUFATTI, CLAUDIOMANES, ANDREAGIGLIO, MARCO
Evaluation of multiple damage-mode models for prognostics of carbon fiber-reinforced polymers 1-gen-2015 CORBETTA, MATTEOGIGLIO, MARCO +
Fatigue Crack Growth in structures under random spectrum loading: Markov chain Monte Carlo methods for parameter identification 1-gen-2014 CORBETTA, MATTEOSBARUFATTI, CLAUDIOMANES, ANDREAGIGLIO, MARCO
Finite Element based Bayesian Particle Filtering for the estimationof crack damage evolution on metallic panels 1-gen-2012 SBARUFATTI, CLAUDIOCORBETTA, MATTEOMANES, ANDREAGIGLIO, MARCO
An investigation of strain energy release rate models for real-time prognosis of fiber-reinforced laminates 1-gen-2017 Corbetta, MatteoGiglio, Marco +
Metropolis-Hastings method for Wohler curve parameter identification 1-gen-2014 CORBETTA, MATTEOSBARUFATTI, CLAUDIOGIGLIO, MARCO +
Model-Assisted performance qualification of a distributed SHM system for fatigue crack detection on a helicopter tail boom 1-gen-2016 SBARUFATTI, CLAUDIOCORBETTA, MATTEOGIGLIO, MARCO +
Model-based fatigue prognosis of fiber-reinforced laminates exhibiting concurrent damage mechanisms 1-gen-2016 CORBETTA, MATTEOSBARUFATTI, CLAUDIOGIGLIO, MARCO +
On Dynamic State-Space models for fatigue-induced structural degradation 1-gen-2014 CORBETTA, MATTEOSBARUFATTI, CLAUDIOMANES, ANDREAGIGLIO, MARCO
On the performance of a cointegration-based approach for novelty detection in realistic fatigue crack growth scenarios 1-gen-2019 Salvetti, MauroSbarufatti, ClaudioCorbetta, MatteoWORDEN, KEITHGiglio, Marco +
On-line Updating of Dynamic State-Space Model for Bayesian Filtering through Markov chain Monte Carlo Techniques 1-gen-2013 CORBETTA, MATTEOSBARUFATTI, CLAUDIOMANES, ANDREAGIGLIO, MARCO
Optimal tuning of particle filtering random noise for monotonic degradation processes 1-gen-2016 CORBETTA, MATTEOSBARUFATTI, CLAUDIOGIGLIO, MARCO
Optimization of nonlinear, non-Gaussian Bayesian filtering for diagnosis and prognosis of monotonic degradation processes 1-gen-2018 Corbetta, MatteoSbarufatti, ClaudioGiglio, MarcoTODD, MICHAEL DOUGLAS
Real- Time sequential monte carlo sampling based on a committee of artificial neural networks for residual lifetime prediction of a component subjected to fatigue crack growth 1-gen-2014 SBARUFATTI, CLAUDIOCORBETTA, MATTEOMANES, ANDREAGIGLIO, MARCO
Real-time prognosis of crack growth evolution using sequential Monte Carlo methods and statistical model parameters 1-gen-2015 CORBETTA, MATTEOSBARUFATTI, CLAUDIOMANES, ANDREAGIGLIO, MARCO
Real-time prognosis of random loaded structures via Bayesian filtering: A preliminary discussion 1-gen-2015 CORBETTA, MATTEOSBARUFATTI, CLAUDIOMANES, ANDREAGIGLIO, MARCO
Removal of temperature-induced strain variations for fatigue crack growth detection in a real aeronautical structure 1-gen-2016 CORBETTA, MATTEOSBARUFATTI, CLAUDIOGIGLIO, MARCO +
Sequential Monte Carlo sampling for crack growth prediction providing for several uncertainties 1-gen-2014 CORBETTA, MATTEOSBARUFATTI, CLAUDIOMANES, ANDREAGIGLIO, MARCO