MANSERVIGI, Lucrezia
MANSERVIGI, Lucrezia
Dipartimento di Ingegneria
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.; Renuke, A.; Spina, P. R.; Venturini, M.
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.
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.
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.
CNN-based Compressor Diagnostics by Means of Time Series Encoded as Images
file con accesso da definire2026 Caputo, C. A.; Venturini, M.; Manservigi, L.; Balasubramanian, A.; Bechini, G.
Comparison of different approaches to predict the performance of pumps as turbines (PATs)
2018 Venturini, M.; Alvisi, S.; Simani, S.; Manservigi, Lucrezia
Comparison of Different Approaches to Predict the Performance of Pumps As Turbines (PATs)
2018 Venturini, Mauro; Alvisi, Stefano; Simani, Silvio; Manservigi, Lucrezia
Component-level fault diagnosis in district heating networks by using a physics-based approach
file con accesso da definire2026 Manservigi, L.; Caputo, C. A.; Spina, P. R.; Venturini, M.; Saletti, C.; Sordi, S.; Morini, M.; Gambarotta, A.
Compressor Diagnostics by Means of Bagging-Based Machine Learning
file con accesso da definire2026 Caputo, C. A.; Venturini, M.; Manservigi, L.; Balasubramanian, A.; Bechini, G.
Compressor Fleet Diagnostics by Employing MLP-Generated Heatmaps
file con accesso da definire2026 Caputo, C. A.; Venturini, M.; Manservigi, L.; Schulze, M.; Bechini, G.
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.
| 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, E.; Venturini, M.; Manservigi, L.; Ceschini, G. F.; Bechini, G. | |
| 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. | |
| 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. | |
| CNN-based Compressor Diagnostics by Means of Time Series Encoded as Images | 2026 | Caputo, C. A.; Venturini, M.; Manservigi, L.; Balasubramanian, A.; Bechini, G. | file con accesso da definire |
| Comparison of different approaches to predict the performance of pumps as turbines (PATs) | 2018 | Venturini, M.; Alvisi, S.; Simani, S.; Manservigi, Lucrezia | |
| Comparison of Different Approaches to Predict the Performance of Pumps As Turbines (PATs) | 2018 | Venturini, Mauro; Alvisi, Stefano; Simani, Silvio; Manservigi, Lucrezia | |
| Component-level fault diagnosis in district heating networks by using a physics-based approach | 2026 | Manservigi, L.; Caputo, C. A.; Spina, P. R.; Venturini, M.; Saletti, C.; Sordi, S.; Morini, M.; G...ambarotta, A. | file con accesso da definire |
| Compressor Diagnostics by Means of Bagging-Based Machine Learning | 2026 | Caputo, C. A.; Venturini, M.; Manservigi, L.; Balasubramanian, A.; Bechini, G. | file con accesso da definire |
| Compressor Fleet Diagnostics by Employing MLP-Generated Heatmaps | 2026 | Caputo, C. A.; Venturini, M.; Manservigi, L.; Schulze, M.; Bechini, G. | file con accesso da definire |
| 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. |