CANNARILE, FRANCESCO
A clustering approach for mining reliability big data for asset management
2018-01-01 Cannarile, Francesco; Compare, Michele; Di Maio, Francesco; Zio, Enrico
A fault diagnostic tool based on a first principle model simulator
2017-01-01 Cannarile, F.; Compare, M.; Zio, E.
A fuzzy expectation maximization based method for estimating the parameters of a multi-state degradation model from imprecise maintenance outcomes
2017-01-01 Cannarile, F.; Compare, M.; Rossi, Ester; Zio, E.
A heterogeneous ensemble approach for the prediction of the remaining useful life of packaging industry machinery
2018-01-01 Cannarile, F.; Baraldi, P.; Compare, M.; Borghi, D.; Capelli, L.; Zio, E.
A Novel Method for Sensor Data Validation based on the analysis of Wavelet Transform Scalograms
2018-01-01 Cannarile, F.; Baraldi, P.; Colombo, P.; Zio, E.
An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories
2019-01-01 Cannarile, F.; Baraldi, P.; Zio, E.
An unsupervised clustering method for assessing the degradation state of cutting tools used in the packaging industry
2017-01-01 Cannarile, F.; Baraldi, P.; Compare, M.; Borghi, D.; Capelli, L.; Cocconcelli, M.; Lahrache, A.; Zio, E.
Comparison of Weibayes and Markov Chain Monte Carlo methods for the reliability analysis of turbine nozzle components with right censored data only
2015-01-01 Cannarile, Francesco; Compare, Michele; Mattafirri, S.; Carlevaro, F.; Zio, Enrico
Elastic net multinomial logistic regression for fault diagnostics of on-board aeronautical systems
2019-01-01 Cannarile, F.; Compare, M.; Baraldi, P.; Diodati, G.; Quaranta, V.; Zio, E.
Handling reliability big data: A similarity-based approach for clustering a large fleet of assets
2015-01-01 Cannarile, Francesco; Compare, Michele; DI MAIO, Francesco; Zio, Enrico
Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions
2016-01-01 Baraldi, Piero; Cannarile, Francesco; DI MAIO, Francesco; Zio, Enrico
Homogeneous Continuous-Time, Finite-State Hidden Semi-Markov Modeling for Enhancing Empirical Classification System Diagnostics of Industrial Components
2018-01-01 Cannarile, Francesco; Compare, M.; Baraldi, P.; Di Maio, F.; Zio, E.
The Aramis Data Challenge to prognostics and health management methods for application in evolving environments
2023-01-01 Baraldi, P.; Compare, M.; Zio, E.; Cannarile, F.; Yang, Z.