Architecture and functioning algorithm of the automated system for assessing the residual life of traction motor insulation based on operational cyclograms
https://doi.org/10.46973/0201-727X_2026_2_96
Abstract
This article proposes the architecture and operating algorithm of an automated system for assessing the residual life of NB-514E traction electric motor (TEM) insulation on 3ES5K electric locomotives using operational load cyclograms. The need for such a system arises from the fact that the periodic insulation resistance monitoring and local monitoring of individual parameters used in practice do not allow for the consideration of the motor's thermal history and the timely assessment of accumulated thermal deterioration of the insulation. The system's computing core utilizes a digital twin of the thermal state, enabling the calculation of overheating in controlled and hard-to-reach areas, the generation of virtual temperature estimates, the comparison of calculated and standard values, and the prediction of the remaining life. The system structure includes an operational data collection subsystem, a cyclogram generation module, a data comparison unit, and a decision-making module. A distinctive feature of the proposed approach is the use of the locomotive's actual current load to periodically update the TEM's thermal state and the subsequent transition from overheating diagnostics to a predictive assessment of insulation deterioration. The result of the work is a formalized structure and algorithm of the system, oriented towards application in tasks of monitoring, diagnostics and support of operational decisions.
About the Authors
E. Yu. DulskyRussian Federation
Dulsky Evgeny Yuryevich, Chair “Electrical Power Engineering”, Doctor of Engineering Sciences, Associate Professor
P. Yu. Ivanov
Russian Federation
Ivanov Pavel Yuryevich, Chair “Transport Engineering”, Doctor of Engineering Sciences, Associate Professor
V. N. Ivanov
Russian Federation
Ivanov Vladimir Nikolaevich, Chair “Transport Engineering”, Candidate of Engineering Sciences, Associate Professor
K. E. Pronin
Russian Federation
Pronin Konstantin Evgenievich, Chair “Transport Engineering”, Postgraduate Student
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Review
For citations:
Dulsky E.Yu., Ivanov P.Yu., Ivanov V.N., Pronin K.E. Architecture and functioning algorithm of the automated system for assessing the residual life of traction motor insulation based on operational cyclograms. Vestnik Rostovskogo gosudarstvennogo universiteta putej soobŝeniâ. 2026;(2):96–104. (In Russ.) https://doi.org/10.46973/0201-727X_2026_2_96
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