Pubblicazioni

Clustering Application for Condition-Based Maintenance in Time-Varying Processes: A Review Using Latent Dirichlet Allocation

2022 - APPLIED SCIENCES
Quatrini, E.; Colabianchi, S.; Costantino, F.; Tronci, M.

A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains

2022 - Proc. of 2022 International Joint Conference on Neural Networks (IJCNN)
Santis, Enrico De; Arno, Francesco; Martino, Alessio; Rizzi, Antonello

Monitoring a reverse osmosis process with kernel principal component analysis: A preliminary approach

2021 - APPLIED SCIENCES
Quatrini, E.; Costantino, F.; Mba, D.; Li, X.; Gan, T. -H.

Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities

2020 - JOURNAL OF MANUFACTURING SYSTEMS
Quatrini, Elena; Costantino, Francesco; Di Gravio, Giulio; Patriarca, Riccardo

Condition-based maintenance—an extensive literature review

2020 - MACHINES
Quatrini, Elena; Costantino, Francesco; Di Gravio, Giulio; Patriarca, Riccardo

Novel technology concepts and architecture for on-board condition-based monitoring of railway running gear: the RUN2Rail vision

2020 - PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS. PART F, JOURNAL OF RAIL AND RAPID TRANSIT
Jarillo, J. M.; Moreno, J.; Alfi, S.; Barcet, S.; Bouvet, P.; Bruni, S.; Cervello, S.; Costa, B.; Licciardello, R.

A predictive maintenance model for an industrial fan in a cement plant

2020 - ...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS
Colabianchi, Silvia; Costantino, Francesco; Genito, Cristian; Iannucci, Massimiliano; Quatrini, Elena

Machine learning models to predict components decay in a naval propulsion system

2020 - ...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS
Quatrini, E.; Colabianchi, S.; Costantino, F.; Tronci, M.

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma