ABBATE, RAFFAELE
ABBATE, RAFFAELE
Dipartimento di Ingegneria
A conceptual framework proposal for the implementation of Prognostic and Health Management in production systems
2024 Abbate, R.; Franciosi, C.; Voisin, A.; Fera, M.
A cost estimation approach for aircraft design enhancement
2024 Abbate, R.; Turino, M. A.; Morse, L.; Fera, M.; Mallardo, V.; Macchiaroli, R.
Addressing the maintenance strategy selection issue in the industrial field: A literature review
2023 Abbate, R.; Turino, M. A.; Caterino, M.; Fera, M.; Macchiaroli, R.
Demand forecasting for delivery platforms by using neural network
2022 Abbate, R.; Manco, P.; Caterino, M.; Fera, M.; Macchiaroli, R.
Evaluation of the impact of Long Short-Term Memory parameters in RUL prediction for aero engines
2022 Manco, P.; Polverino, L.; Abbate, R.; Caterino, M.; Fera, M.; Rinaldi, M.; Turino, M. A.; D'Ambra, S.; Macchiaroli, R.
Machine learning for prognostics and health management of industrial mechanical systems and equipment: A systematic literature review
2023 Polverino, L.; Abbate, R.; Manco, P.; Perfetto, D.; Caputo, F.; Macchiaroli, R.; Caterino, M.
Maintenance Digital Twin using vibration data
2022 Abbate, R.; Caterino, M.; Fera, M.; Caputo, F.
Production Technology Comparison between Additive Manufacturing and Injection Moulding through Life Cycle Assessment
2021 Manco, P.; Fera, M.; Rinaldi, M.; Caterino, M.; Abbate, R.; Turino, M. A.; Macchiaroli, R.
Remanufacturing Decision-Making Tools: A State of the Art
2024 Fera, M.; Caterino, M.; Hartono, N.; Turino, M. A.; Abbate, R.; Manco, P.; Miranda, S.; Riemma, S.; Macchiaroli, R.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A conceptual framework proposal for the implementation of Prognostic and Health Management in production systems | 1-gen-2024 | Abbate, R.; Franciosi, C.; Voisin, A.; Fera, M. | |
| A cost estimation approach for aircraft design enhancement | 1-gen-2024 | Abbate, R.; Turino, M. A.; Morse, L.; Fera, M.; Mallardo, V.; Macchiaroli, R. | |
| Addressing the maintenance strategy selection issue in the industrial field: A literature review | 1-gen-2023 | Abbate, R.; Turino, M. A.; Caterino, M.; Fera, M.; Macchiaroli, R. | |
| Demand forecasting for delivery platforms by using neural network | 1-gen-2022 | Abbate, R.; Manco, P.; Caterino, M.; Fera, M.; Macchiaroli, R. | |
| Evaluation of the impact of Long Short-Term Memory parameters in RUL prediction for aero engines | 1-gen-2022 | Manco, P.; Polverino, L.; Abbate, R.; Caterino, M.; Fera, M.; Rinaldi, M.; Turino, M. A.; D'Ambra, S.; Macchiaroli, R. | |
| Machine learning for prognostics and health management of industrial mechanical systems and equipment: A systematic literature review | 1-gen-2023 | Polverino, L.; Abbate, R.; Manco, P.; Perfetto, D.; Caputo, F.; Macchiaroli, R.; Caterino, M. | |
| Maintenance Digital Twin using vibration data | 1-gen-2022 | Abbate, R.; Caterino, M.; Fera, M.; Caputo, F. | |
| Production Technology Comparison between Additive Manufacturing and Injection Moulding through Life Cycle Assessment | 1-gen-2021 | Manco, P.; Fera, M.; Rinaldi, M.; Caterino, M.; Abbate, R.; Turino, M. A.; Macchiaroli, R. | |
| Remanufacturing Decision-Making Tools: A State of the Art | 1-gen-2024 | Fera, M.; Caterino, M.; Hartono, N.; Turino, M. A.; Abbate, R.; Manco, P.; Miranda, S.; Riemma, S.; Macchiaroli, R. |