Litcius/Paper detail

Data-driven and physics-informed approaches for improving the performance of dynamic models of fluid film bearings

Denis Shutin, Yuri Kazakov, Ivan Stebakov, Леонид Савин

2023Tribology International23 citationsDOI

Topics & Concepts

Context (archaeology)Computer scienceRotor (electric)Artificial neural networkHyperparameterComputationBearing (navigation)Variety (cybernetics)Artificial intelligenceMachine learningControl engineeringEngineeringMechanical engineeringAlgorithmBiologyPaleontologyTribology and Lubrication EngineeringGear and Bearing Dynamics AnalysisMagnetic Bearings and Levitation Dynamics
Data-driven and physics-informed approaches for improving the performance of dynamic models of fluid film bearings | Litcius