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Mostrati risultati da 1 a 20 di 57
Titolo Data di pubblicazione Autore(i) File
Development of a physics-based model to predict the performance of pumps as turbines (PATs) 2017 Venturini, Mauro; Alvisi, Stefano; Simani, Silvio; Manservigi, Lucrezia
Energy production by means of pumps as turbines in water distribution networks 2017 Venturini, Mauro; Alvisi, Stefano; Simani, Silvio; Manservigi, Lucrezia
Producible energy at the inlet point of a district by replacing a pressure reducing valve with a pump running in turbine mode 2018 Manservigi, Lucrezia; Alvisi, Stefano; Venturini, Mauro; Simani, Silvio
Detection and Classification of Sensor Anomalies in Gas Turbine Field Data 2018 Ceschini, G. F.; Manservigi, L.; Bechini, G.; Venturini, M.
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
Capability of the Bayesian Forecasting Method to Predict Field Time Series 2018 Gatta, N.; Venturini, M.; Manservigi, L.; Ceschini, G. F.; Bechini, G.
Development of a physics-based model to predict the performance of pumps as turbines 2018 Venturini, M; Manservigi, L; Alvisi, S; Simani, S
Capability of the Bayesian Forecasting Method to Predict Field Timeseries 2018 Gatta, N.; Venturini, M.; Manservigi, L.; Ceschini, G. F.; Bechini, G.
Minimization of the primary energy consumption of residential users connected by means of an energy grid 2019 Cattozzo, M.; Manservigi, L.; 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.
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.
Prediction of compressor efficiency by means of Bayesian Hierarchical Models 2019 Losi, E.; Venturini, M.; Manservigi, L.
Gas turbine health state prognostics by means of Bayesian hierarchical models 2019 Losi, E.; Venturini, M.; Manservigi, L.
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.
Gas turbine health state prognostics by means of Bayesian hierarchical models 2019 Losi, E.; Venturini, M.; Manservigi, L.
Validation of an advanced diagnostic methodology for the identification and classification of gas turbine sensor faults by means of field data 2019 Manservigi, L.; Venturini, M.; Ceschini, G. F.; Bechini, G.; Losi, E.
Autoregressive Bayesian Hierarchical Model to Predict Gas Turbine Degradation 2020 Losi, E.; Venturini, M.; Manservigi, L.
Detection of Unit of Measure Inconsistency by means of a Machine Learning Model 2020 Manservigi, L.; Murray, D.; Artal de la Iglesia, J.; Ceschini, G. F.; Bechini, G.; Losi, E.; Vent...urini, M.
Mostrati risultati da 1 a 20 di 57
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