Sfoglia per Autore
Components monitoring and intelligent diagnosis tools for Prognostic Health Management approach
2018 Calabrese Francesca, Casto Andrea, Regattieri Alberto, Piana Francesco
Optimal Operations Management of Hybrid Energy Systems Through Short-Term Atmospheric and Demand Forecasts
2019 Calabrese, Francesca; Gamberi, Mauro; Lelli, Giovanni; Manzini, Riccardo; Pilati, Francesco; Regattieri, Alberto
Prognostic Health Management of Production Systems. New Proposed Approach and Experimental Evidences
2019 Calabrese, Francesca; Regattieri, Alberto; Botti, Lucia; Galizia, Francesco Gabriele
Data-driven prognostics: From an offline and supervised analysis to an innovative, online and unsupervised methodology
2019 Calabrese, FRANCESCA, gamberi mauro, Margelli silvia, Pilati Francesco, Regattieri Alberto
Streaming-based feature extraction and clustering for condition detection in dynamic environments: an industrial case
2020 Francesca Calabrese, Alberto Regattieri, Francesco Pilati, Marco Bortolini
Unsupervised fault detection and prediction of remaining useful life for online prognostic health management of mechanical systems
2020 Calabrese F.; Regattieri A.; Botti L.; Mora C.; Galizia F.G.
From raw data to information for a continuous supervision of machinery in dynamic industrial environments: A case study
2020 Calabrese F.; Ferrari E.; Lelli G.; Regattieri A.
Predictive maintenance: a novel framework for a data-driven, semi-supervised, and partially online prognostic health management application in industries
2021 Calabrese F.; Regattieri A.; Bortolini M.; Gamberi M.; Pilati F.
Feature-based multi-class classification and novelty detection for fault diagnosis of industrial machinery
2021 Calabrese F.; Regattieri A.; Bortolini M.; Galizia F.G.; Visentini L.
Fault Diagnosis in Industries: How to Improve the Health Assessment of Rotating Machinery
2022 Calabrese F.; Regattieri A.; Bortolini M.; Galizia F.G.
Data-Driven Predictive Maintenance in Evolving Environments: A Comparison Between Machine Learning and Deep Learning for Novelty Detection
2022 Del Buono F.; Calabrese F.; Baraldi A.; Paganelli M.; Regattieri A.
Data-Driven Fault Detection and Diagnosis: Challenges and Opportunities in Real-World Scenarios
2022 Calabrese, F; Regattieri, A; Bortolini, M; Galizia, FG
Industry 4.0 Technologies: A Cross-sector Industry-Based Analysis
2022 Bortolini M.; Calabrese F.; Galizia F.G.; Mora C.; Ventura V.
A three-objective optimization model for mid-term sustainable supply chain network design
2022 Bortolini M.; Calabrese F.; Galizia F.G.; Mora C.
Crowd Logistics: A Survey of Successful Applications and Implementation Potential in Northern Italy
2022 Bortolini M.; Calabrese F.; Galizia F.G.
Novelty Detection with Autoencoders for System Health Monitoring in Industrial Environments
2022 Del Buono F.; Calabrese F.; Baraldi A.; Paganelli M.; Guerra F.
Genetic Programming-Based Feature Construction for System Setting Recognition and Component-Level Prognostics
2022 Calabrese F.; Regattieri A.; Galizia F.G.; Piscitelli R.; Bortolini M.
Condition Monitoring of CNC machines: machining process classification through Temporal Convolutional Networks
2023 Calabrese F.; Regattieri A.; Gabellini M.; Caporale A.; Epifania P.
A Data Model for Predictive Supply Chain Risk Management
2023 Gabellini M.; Civolani L.; Regattieri A.; Calabrese F.
A cross‐sectorial review of industrial best practices and case histories on Industry 4.0 technologies
2023 Galizia, Francesco Gabriele; Bortolini, Marco; Calabrese, Francesca
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile