Francesco Cannarile

Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions

Piero Baraldi, Francesco Cannarile, Francesco Di Maio et al. · Engineering Applications of Artificial Intelligence · 2016 · 127 citations · Full text

Fault Diagnosis, Engineering, Pattern Recognition +8

An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories

Francesco Cannarile, Piero Baraldi, Enrico Zio · Fuzzy Sets and Systems · 2018 · 34 citations · Full text

Reliability Engineering, Engineering, Incomplete Degradation Trajectories +14

Elastic net multinomial logistic regression for fault diagnostics of on-board aeronautical systems

Francesco Cannarile, Michele Compare, Piero Baraldi et al. · Aerospace Science and Technology · 2019 · 15 citations · Full text

Fault Diagnosis, Engineering, Aerospace Engineering +10

A fuzzy expectation maximization based method for estimating the parameters of a multi-state degradation model from imprecise maintenance outcomes

Francesco Cannarile, Michele Compare, E. Rossi et al. · Annals of Nuclear Energy · 2017 · 14 citations · Full text

Imprecise Maintenance Outcomes, Fuzzy Logic, Reliability Engineering +14

An unsupervised clustering method for assessing the degradation state of cutting tools used in the packaging industry

Francesco Cannarile, Piero Baraldi, Michele Compare et al. · 2017 · 10 citations · Full text