CANNARILE, FRANCESCO

CANNARILE, FRANCESCO  

DIPARTIMENTO DI MATEMATICA  

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Risultati 1 - 13 di 13 (tempo di esecuzione: 0.028 secondi).
Titolo Data di pubblicazione Autori File
A clustering approach for mining reliability big data for asset management 1-gen-2018 Cannarile, FrancescoCompare, MicheleDi Maio, FrancescoZio, Enrico
A fault diagnostic tool based on a first principle model simulator 1-gen-2017 F. CannarileM. CompareE. Zio
A fuzzy expectation maximization based method for estimating the parameters of a multi-state degradation model from imprecise maintenance outcomes 1-gen-2017 Cannarile, F.Compare, M.ROSSI, ESTERZio, E.
A heterogeneous ensemble approach for the prediction of the remaining useful life of packaging industry machinery 1-gen-2018 F. CannarileP. BaraldiM. CompareE. Zio +
A Novel Method for Sensor Data Validation based on the analysis of Wavelet Transform Scalograms 1-gen-2018 F. CannarileP. BaraldiE. Zio +
An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories 1-gen-2019 Cannarile F.Baraldi P.Zio E.
An unsupervised clustering method for assessing the degradation state of cutting tools used in the packaging industry 1-gen-2017 F. CannarileP. BaraldiM. CompareE. Zio +
Comparison of Weibayes and Markov Chain Monte Carlo methods for the reliability analysis of turbine nozzle components with right censored data only 1-gen-2015 CANNARILE, FRANCESCOCOMPARE, MICHELEZIO, ENRICO +
Elastic net multinomial logistic regression for fault diagnostics of on-board aeronautical systems 1-gen-2019 Cannarile F.Compare M.Baraldi P.Zio E. +
Handling reliability big data: A similarity-based approach for clustering a large fleet of assets 1-gen-2015 CANNARILE, FRANCESCOCOMPARE, MICHELEDI MAIO, FRANCESCOZIO, ENRICO
Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions 1-gen-2016 BARALDI, PIEROCANNARILE, FRANCESCODI MAIO, FRANCESCOZIO, ENRICO
Homogeneous Continuous-Time, Finite-State Hidden Semi-Markov Modeling for Enhancing Empirical Classification System Diagnostics of Industrial Components 1-gen-2018 CANNARILE, FRANCESCOM. CompareP. BaraldiF. Di MaioE. Zio
The Aramis Data Challenge to prognostics and health management methods for application in evolving environments 1-gen-2023 Baraldi P.Compare M.Zio E.Cannarile F.Yang Z.