1-4 of 4
Keywords: machine learning
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Proc. ASME. GTINDIA2021, ASME 2021 Gas Turbine India Conference, V001T02A005, December 2–3, 2021
Paper No: GTINDIA2021-76058
... such as machine learning (ML) provide a valuable tool that can be utilized to predict the occurrence of cyclic failure for these conditions with minimal time and resource requirement. In this paper, a machine learning based surrogate model is developed to predict the cyclic failure of a radially cooled turbine...
Proceedings Papers

Proc. ASME. GTINDIA2019, Volume 2: Combustion, Fuels, and Emissions; Renewable Energy: Solar and Wind; Inlets and Exhausts; Emerging Technologies: Hybrid Electric Propulsion and Alternate Power Generation; GT Operation and Maintenance; Materials and Manufacturing (Including Coatings, Composites, CMCs, Additive Manufacturing); Analytics and Digital Solutions for Gas Turbines/Rotating Machinery, V002T11A006, December 5–6, 2019
Paper No: GTINDIA2019-2605
... thermocouple temperature data. With this approach, user intervention is mostly eliminated. 75% of cycle time reduction is achieved. thermal data match machine learning heat transfer coefficient regression THERMAL ANALYSIS VALIDATION USING MACHINE LEARNING Krishna Nelanti 1 , Raviraj Barapu 1...