Кафедра "Локомотиви"
Permanent URI for this communityhttp://crust.ust.edu.ua/handle/123456789/659
UKR: У ЦЮ СПІЛЬНОТУ ДАНІ НЕ ДОДАЮТЬСЯ
У 2026 р. ця кафедра увійшла до складу кафедри "Управління та експлуатація рухомого складу"
ENG: The department "Locomotives".
In 2026, this department became part of the Department of Rolling Stock Management and Operation
У 2026 р. ця кафедра увійшла до складу кафедри "Управління та експлуатація рухомого складу"
ENG: The department "Locomotives".
In 2026, this department became part of the Department of Rolling Stock Management and Operation
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Item type:Item, A Case Study of the Use of Statistical Processing of the Armature Rotation Irregularities for the Diagnostics of Locomotive Traction Electric Motors(Vilnius Gediminas Technical University, 2025) Bodnar, Boris Ye.; Ochkasov, Oleksandr B.; Hryshechkina, Tetiana S.; Petrenko, ViačeslavENG: Locomotive Traction Electric Motors (TEMs) generate power to rotate the wheelsets of diesel or electric locomotives, electric or diesel multiple units. TEMs are the most critical parts of traction rolling stock on which exploitation costs, reliability and train traffic safety depend. The purpose of the article is to evaluate the possibility of diagnostics the technical condition of the TEM using the rotation irregularities of the armature shaft in the electric motor as a diagnostic parameter. The article analyses the main causes of TEM failures and methods for diagnosing electric motors in operation. The expediency of using the rotation irregularities of the armature shaft in the electric motor as a diagnostic parameter is substantiated. The structural flowchart of the device for measuring the rotation irregularities of the armature is presented. Diagnosing the mechanical part of an electric motor is chosen as an implementation example. The authors confirmed the connection between the technical condition of the electric motor and the statistical indicators calculated for the signal of the rotation irregularities of the armature shaft.Item type:Item, Simulation of Locomotive Repair Organization by the Methods of Queue Systems Theory(Дніпропетровський національний університет залізничного транспорту ім. акад. В. Лазаряна, Дніпро, 2018) Bodnar, Borys Ye.; Ochkasov, Oleksandr B.; Bodnar, Yevhen B.; Hryshechkina, Tetiana S.; Ocheretnyuk, Maksym V.ENG: Purpose. The article is aimed to evaluate the influence of locomotives` operation and reliability indicators on the system of locomotives repair organization in depot, using the methods of queue theory. Methodology. The article describes the locomotive repair workshop using the terms and concepts of the queue systems theory (QST). The tasks solved during simulation of the repair workshop operation are formulated, the list of initial data and simulation results is given. A graphical simulation environment Simulink was used as a software simulation tool. Findings. It was established that the main indicators of locomotive depot operation are affected by the volume of traffic, the reliability of locomotives, the rule used to select locomotives from the queue, the number of operating repair bays. The developed model of the depot repair workshop will make possible rational planning of the repair workshop`s equipment use, the human capital, the time of putting the locomotives into repair taking into account the workshop loading uniformity, as well as to improve the repair parts supply logistics. This model in a simplified form describes the repair process of the main diesel locomotive fleet, and can be supplemented depending on the repair type performed in the depot. Originality. The paper presents the locomotive repair depot as an object of the queue systems theory. The simulation model of the locomotive repair depot was developed. It allows analyzing the influence of various factors on the system of locomotives` repair organization in the depot. Practical value. The obtained results make it possible to determine the influence of locomotives` operation and reliability indicators on the organization of the locomotive repair depot operation. In further studies, the developed model can be used to improve the system of repair organization on the railway network when introducing new series of locomotives and changing the strategy of their maintenance.