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Approximation of forces of fluid film bearing lubricating layer using machine learning methods
- Authors: Kazakov Y.N.1, Stebakov I.N.1, Shutin D.V.1, Savin L.A.1
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Affiliations:
- Orel State University named after I.S. Turgenev
- Issue: Vol 22, No 3 (2023)
- Pages: 108-121
- Section: MECHANICAL ENGINEERING
- URL: https://journals.ssau.ru/vestnik/article/view/26893
- DOI: https://doi.org/10.18287/2541-7533-2023-22-3-108-121
- ID: 26893
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Abstract
The article analyzes the application of various machine learning methods for solving the problem of approximating the forces of fluid film bearing lubricating layer in static formulation. The initial data on the values of lubricating layer forces for different shaft positions were obtained using a model of a rotor-bearing system based on the numerical solution of the Reynolds equation, with account for the cavitation effect. Methods for reducing the amount of calculation required to obtain the necessary data set are determined on the basis of analyzing solution approximation accuracy with artificial neural networks. After that, approximation models were constructed using a number of other machine learning methods, and the accuracy of predictions as well as the duration of the training process were analyzed. Finally, conclusions were drawn about the most effective approaches to building such models.
About the authors
Yu. N. Kazakov
Orel State University named after I.S. Turgenev
Author for correspondence.
Email: KazakYurii@yandex.ru
Student
Russian FederationI. N. Stebakov
Orel State University named after I.S. Turgenev
Email: chester50796@yandex.ru
Postgraduate Student of the Department of Mechatronics, Mechanics and Robotics
Russian FederationD. V. Shutin
Orel State University named after I.S. Turgenev
Email: rover.ru@gmail.com
Candidate of Science (Engineering), Associate Professor, Department of Mechatronics, Mechanics and Robotics
Russian FederationL. A. Savin
Orel State University named after I.S. Turgenev
Email: savin3257@mail.ru
Doctor of Science (Engineering), Professor, Department of Mechatronics, Mechanics and Robotics
Russian FederationReferences
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