Influence of the ultrafine oil additives on friction and vibration in journal bearings A Kornaev, L Savin, E Kornaeva, A Fetisov Tribology International 101, 131-140, 2016 | 34 | 2016 |
Application of artificial neural networks to calculation of oil film reaction forces and dynamics of rotors on journal bearings AV Kornaev, NV Kornaev, EP Kornaeva, LA Savin International Journal of Rotating Machinery 2017 (1), 9196701, 2017 | 33 | 2017 |
Application of artificial neural networks to diagnostics of fluid-film bearing lubrication EP Kornaeva, AV Kornaev, YN Kazakov, RN Polyakov IOP Conference Series: Materials Science and Engineering 734 (1), 012154, 2020 | 27 | 2020 |
A method to measure non-Newtonian fluids viscosity using inertial viscometer with a computer vision system EP Kornaeva, IN Stebakov, AV Kornaev, VV Dremin, SG Popov, ... International Journal of Mechanical Sciences 242, 107967, 2023 | 17 | 2023 |
Enhanced hydrodynamic lubrication of lightly loaded fluid-film bearings due to the viscosity wedge effect AV Kornaev, EP Kornaeva, LA Savin, YN Kazakov, A Fetisov, ... Tribology International 160, 107027, 2021 | 14 | 2021 |
Laser speckle contrast imaging and machine learning in application to physiological fluids flow rate recognition I Stebakov, E Kornaeva, D Stavtsev, E Potapova, V Dremin Vibroengineering procedia 38, 50-55, 2021 | 14 | 2021 |
Theoretical premises of thermal wedge effect in fluid-film bearings supplied with a non-homogeneous lubricant AV Kornaev, EP Kornaeva, LA Savin International Journal of Mechanics 11, 197-203, 2017 | 14 | 2017 |
Theoretical premises of a vibro-inertial method of viscosity measurement E Kornaeva, A Kornaev, L Savin, A Galichev, A Babin Vibroengineering Procedia 8, 440-445, 2016 | 10 | 2016 |
Variational principle in the hydrodynamic lubrication theory L Savin, A Kornaev, E Kornaeva continuum 6, 8, 2015 | 10 | 2015 |
Effect of lubrication of fluid friction bearings with media of complex rheology L Savin, A Kornaev, E Kornaeva Applied mechanics and materials 630, 199-207, 2014 | 9 | 2014 |
Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling E Kornaeva, A Kornaev, A Fetisov, I Stebakov, B Ibragimov 2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022 | 6 | 2022 |
Inertial method of viscosity measurement of the complex rheology medium E Kornaeva, A Kornaev, L Savin Procedia Engineering 150, 626-634, 2016 | 6 | 2016 |
Influence of polymer additives on friction in fluid-film bearings: Theoretical view on experimental results by Moritsugu Kasai et al. AV Kornaev, LA Savin, EP Kornaeva Proceedings of the Institution of Mechanical Engineers, Part J: Journal of …, 2020 | 4 | 2020 |
Application of artificial neural networks to fault diagnostics of rotor-bearing systems N Kornaev, E Kornaeva, L Savin IOP Conference Series: Materials Science and Engineering 862 (3), 032112, 2020 | 4 | 2020 |
Influence of Critical Flow Rates on Characteristics of Enforced and Shear Flows in Circular Convergent‐Divergent Channels LA Savin, AV Kornaev, EP Kornaeva International journal of rotating machinery 2017 (1), 8761375, 2017 | 4 | 2017 |
Modeling of fluid flow in the cone seal L Savin, E Kornaeva Procedia Engineering 39, 132-139, 2012 | 4 | 2012 |
Reducing rotor vibrations in active conical fluid film bearings with controllable gap YN Kazakov, AV Kornaev, DV Shutin, EP Kornaeva, LA Savin Russian Journal of Nonlinear Dynamics 18 (5), 873-883, 2022 | 3 | 2022 |
Room for doubt as a way to improve the accuracy of machine learning algorithms A Kornaev, E Kornaeva 2020 4th Scientific School on Dynamics of Complex Networks and their …, 2020 | 3 | 2020 |
Machine learning for rotating machines: simulation, diagnosis and control A Kornaev, L Savin, N Kornaev, R Zaretsky, E Kornaeva, A Babin, ... Vibroengineering Procedia 32, 223-228, 2020 | 3 | 2020 |
Application of artificial neural networks to solution of variational problems in hydrodynamics E Kornaeva, A Kornaev, S Egorov Journal of Physics: Conference Series 1553 (1), 012005, 2020 | 3 | 2020 |