Methodology development for estimating the residual resource of diesel locomotive traction generator brushes
- Authors: Makarov A.S.1, Kharlamov V.V.1, Popov D.I.1
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Affiliations:
- Omsk State Transport University
- Issue: Vol 193, No 1 (2025)
- Pages: 84-90
- Section: ENERGY AND ELECTRICAL ENGINEERING
- URL: https://bakhtiniada.ru/1813-8225/article/view/284675
- DOI: https://doi.org/10.25206/1813-8225-2025-193-84-90
- EDN: https://elibrary.ru/PGKJJD
- ID: 284675
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Full Text
Abstract
The article presents the formation of a mathematical model of the wear process and estimation of the residual resource of synchronous traction generator brushes.
The authors propose to consider the peculiarities of operation and technical condition of the brush assembly in calculating the residual resource of electric brushes. The data arrays collected by the on-board monitoring system are analysed and required parameters for determining the residual resource of electric brushes are identified. The article provides a mathematical model of wear intensity of the traction generator electric brushes. The authors present the experimental research plan for determining the mathematical model coefficients. There is a scheme of experimental installation for determining the residual resource of synchronous generator brushes. The authors obtain dependences of the residual resource value on the change of operating modes.
About the authors
Artem S. Makarov
Omsk State Transport University
Author for correspondence.
Email: martyom1597@gmail.com
SPIN-code: 9485-1606
Graduate Student of the Electrical Machines and General Electrical Engineering Department
Russian Federation, OmskViktor V. Kharlamov
Omsk State Transport University
Email: emoe@omgups.ru
ORCID iD: 0000-0003-3621-3377
SPIN-code: 5093-8463
Scopus Author ID: 7006332004
Doctor of Technical Sciences, Professor, Head of the Electrical Machines and General Electrical Engineering Department
Russian Federation, OmskDenis I. Popov
Omsk State Transport University
Email: emoe@omgups.ru
ORCID iD: 0000-0001-9519-1062
SPIN-code: 8506-9250
Scopus Author ID: 57200090858
Doctor of Technical Sciences, Associate Professor, Professor of the Electrical Machines and General Electrical Engineering Department
Russian Federation, OmskReferences
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