MANSERVIGI, Lucrezia

MANSERVIGI, Lucrezia  

Dipartimento di Ingegneria  

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Risultati 1 - 20 di 70 (tempo di esecuzione: 0.036 secondi).
Titolo Data di pubblicazione Autore(i) File
A diagnostic approach for fault detection and identification in district heating networks 2022 Manservigi, Lucrezia; Bahlawan, Hilal; Losi, Enzo; Morini, Mirko; Spina, Pier Ruggero; Venturini,... Mauro
A general diagnostic methodology for sensor fault detection, classification and overall health state assessment 2019 Manservigi, L.; Venturini, M.; Ceschini, G. F.; Bechini, G.; Losi, E.
Analysis of a Multi-Generation Renewable Energy System With Hydrogen-Fueled Gas Turbine 2022 Bahlawan, Hilal; Losi, Enzo; Manservigi, Lucrezia; Morini, Mirko; Spina, Pier Ruggero; Venturini,... Mauro
Analysis of a Multi-Generation Renewable Energy System with Hydrogen-Fueled Gas Turbine 2022 Bahlawan, Hilal; Losi, Enzo; Manservigi, Lucrezia; Morini, Mirko; Spina, Pier Ruggero; Venturini,... Mauro
Analysis of Pumped Hydro Storage Using Mines as Hydro Reservoirs 2024 Castorino, G. A. M.; Dahlquist, E.; Kyprianidis, K.; Losi, E.; Manservigi, L.; Pinelli, M.; Renuk...e, A.; Spina, P. R.; Venturini, M.
Anomaly detection in gas turbine time series by means of Bayesian hierarchical models 2019 Losi, Enzo; Venturini, M.; Manservigi, L.; Ceschini, G. F.; Bechini, G.
Anomaly Detection in Gas Turbine Time Series by Means of Bayesian Hierarchical Models 2019 Losi, E.; Venturini, M.; Manservigi, L.; Ceschini, G. F.; Bechini, G.
Application of a physics-based model to predict the performance curves of pumps as turbines 2019 Manservigi, L.; Venturini, M.; Losi, E.
Application of Transfer Learning for the Prediction of Gas Turbine Trip 2023 Losi, E.; Venturini, M.; Manservigi, L.; Bechini, G.
Autoregressive Bayesian Hierarchical Model to Predict Gas Turbine Degradation 2020 Losi, E.; Venturini, M.; Manservigi, L.
Capability of the Bayesian Forecasting Method to Predict Field Time Series 2018 Gatta, N.; Venturini, M.; Manservigi, L.; Ceschini, G. F.; Bechini, G.
Capability of the Bayesian Forecasting Method to Predict Field Timeseries 2018 Gatta, N.; Venturini, M.; Manservigi, L.; Ceschini, G. F.; Bechini, G.
Comparison of Different Approaches to Predict the Performance of Pumps As Turbines (PATs) 2018 Venturini, Mauro; Alvisi, Stefano; Simani, Silvio; Manservigi, Lucrezia
Comparison of different approaches to predict the performance of pumps as turbines (PATs) 2018 Venturini, M.; Alvisi, S.; Simani, S.; Manservigi, Lucrezia
Concurrent Design and Operation Optimization of a Multi-Generation Energy System by Using a SMO-MILP Hybrid Algorithm 2023 Castorino, G. A. M.; Losi, E.; Manservigi, L.; Pinelli, M.; Spina, P. R.; Venturini, M.
Data Selection and Feature Engineering for the Application of Machine Learning to the Prediction of Gas Turbine Trip 2021 Losi, E.; Venturini, M.; Manservigi, L.; Ceschini, G. F.; Bechini, G.; Cota, G.; Riguzzi, F.
Data-driven approach for the detection of faults in district heating networks 2024 Losi, Enzo; Manservigi, Lucrezia; Spina, Pier Ruggero; Venturini, Mauro
Data-driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation 2024 Losi, E.; Manservigi, L.; Spina, P. R.; Venturini, M.
Data-Driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation 2025 Losi, E.; Manservigi, L.; Spina, P. R.; Venturini, M.
Detection and classification of fults and anomalies in gas turbine sensors by means of statistical filters and machine learning models 2021 Manservigi, Lucrezia