Prediction of compressor efficiency by means of Bayesian Hierarchical Models

von Losi, Enzo
Veröffentlicht in ATI National Congress (74. : 2019 : Modena) 74th ATI National Congress ; B (2019)

Application of a physics-based model to predict the performance curves of pumps as turbines

von Manservigi, Lucrezia
Veröffentlicht in ATI National Congress (74. : 2019 : Modena) 74th ATI National Congress ; B (2019)

GT2022-80666 Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data

von Losi, Enzo
Veröffentlicht in ASME Turbo Expo (67. : 2022 : Rotterdam) Proceedings of ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition (GT 2022) ; Volume 7: Industrial and cogeneration; manufacturing materials and metallurgy; microturbines, turbochargers, and small turbomachines; oil & gas applications (2022)

GT2022-80372 Ensemble Learning Approach to the Prediction of Gas Turbine Trip

von Losi, Enzo
Veröffentlicht in ASME Turbo Expo (67. : 2022 : Rotterdam) Proceedings of ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition (GT 2022) ; Volume 7: Industrial and cogeneration; manufacturing materials and metallurgy; microturbines, turbochargers, and small turbomachines; oil & gas applications (2022)

GT2022-81082 Analysis of a Multi-Generation Renewable Energy System with Hydrogen-Fueled Gas Turbine

von Bahlawan, Hilal
Veröffentlicht in ASME Turbo Expo (67. : 2022 : Rotterdam) Proceedings of ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition (GT 2022) ; Volume 7: Industrial and cogeneration; manufacturing materials and metallurgy; microturbines, turbochargers, and small turbomachines; oil & gas applications (2022)

GT2020-16331Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems and Energy Storage Technologies

von Bahlawan, Hilal
Veröffentlicht in ASME Turbo Expo (2020 : Online) Proceedings of the ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition - 2020 ; Volume 8: Industrial and cogeneration - manufacturing materials and metallurgy - marine - microturbines, turbochargers, and small turbomachines (2020)

GT2021-58914 Data Selection and Feature Engineering for the Application of Machine Learning to the Prediction of Sas Turbine Trip

von Losi, Enzo
Veröffentlicht in ASME Turbo Expo (2021 : Online) Proceedings of ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition ; Volume 8: Oil and gas applications, steam turbine (2021)

GT2022-82915 Statistical Rule Extraction for Gas Turbine Trip Prediction

von Bechini, Giovanni
Veröffentlicht in ASME Turbo Expo (67. : 2022 : Rotterdam) Proceedings of ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition (GT 2022) ; Volume 7: Industrial and cogeneration; manufacturing materials and metallurgy; microturbines, turbochargers, and small turbomachines; oil & gas applications (2022)

GT2021-58916 Prediction of Gas Turbine Trip: a Novel Methodology Based on Random Forest Models

von Losi, Enzo
Veröffentlicht in ASME Turbo Expo (2021 : Online) Proceedings of ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition ; Volume 8: Oil and gas applications, steam turbine (2021)