Computer modeling of possible malfunctions in the electric part of an electric locomotive on the basis of digital twin technology
https://doi.org/10.46973/0201-727X_2025_1_121
Abstract
The results of computer modeling of possible faults in the electrical part of an electric locomotive based on the digital twin technology using Matlab Simulink software are presented. For approbation of the developed digital twin of the electric part of the 2ES6 electric locomotive the validation of the computer model on the basis of retrospective data measured with the help of the onboard recorder of motion parameters and autotracking (RMPA) was carried out. The results of the research can be used for machine learning of the model for predicting of the state of electric rolling stock, namely for the purpose of generating a set of data with different parameters of electric locomotive motion due to the small number of records of real trips with RMPA. Prospects of practical application of the obtained results are related to the developed system of prescriptive monitoring and diagnostics for automatic prevention of electric locomotive faults on the way.
About the Authors
А. А. Budaev
Omsk State Transport University (OSTU)
Russian Federation
Russian Federation
Budaev Artyom Anatolyevich, Chair “Rolling Stock of Electric Railways”, Postgraduate Student
E. A. Tretyakov
Omsk State Transport University (OSTU)
Russian Federation
Russian Federation
Tretyakov Evgeny Aleksandrovich, Chair “Rolling Stock of Electric Railways”, Doctor of Engineering Sciences, Associate Professor
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Review
For citations:
Budaev А.А., Tretyakov E.A. Computer modeling of possible malfunctions in the electric part of an electric locomotive on the basis of digital twin technology. Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. 2025;(1):121-132. (In Russ.) https://doi.org/10.46973/0201-727X_2025_1_121
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