Browsing by Author "Serdiuk, Volodymyr N."

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    Rationale for Choosing the Type of Traction Rolling Stock for the Enterprise of Industrial Transport
    (Kaunas University of Technology; Publishing House “Technologija“, Kaunas, Lithuania, 2018) Kozachenko, Dmytro M.; Dovbnya, Mikola P.; Ochkasov, Oleksandr B.; Serdiuk, Volodymyr N.; Shepotenko, Anatolii P.; Keršys, A.
    ENG: Shunting locomotives are used to carry out shunting and clean-up operations on the routes of most private and state enterprises of industrial transport in various spheres of activity. In most cases, the power of these locomotives significantly exceeds the pre-determined volume of works, especially if the work has cyclical nature. One of the options for solving the problem of transportation for owners of small industrial enterprises, grain elevators and other similar enterprises may be the presence of their own traction rolling stock. Moreover, its technical and economic characteristics must fully comply with the conditions and volumes of shunting/clean-up operations of the enterprise. Definition of the most rational type of traction rolling stock should be carried out taking into account the available track infrastructure of the enterprise, volumes and organization of shunting and clean-up operations, organization of the system and production cost of maintenance and repair. The authors proposed a technique of comparative analysis of technical and operational indicators for the utilization of various types of traction rolling stock using traction calculation methods and ways to organize the operational performance. This will allow the owner of the industrial enterprise to choose the type of traction rolling stock (locomotive, locotractor or steam-accumulator locomotive), which most closely comply with the conditions of a particular enterprise. At the same time, the company's cost reduction for operation of the traction rolling stock is ensured.
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    Signal Analysis of the Armature Rotation Irregularities in the Traction Electric Motor by Unsupervised Anomaly Detection Methods
    (Kaunas University of Technology, Lithuania, 2022) Bodnar, Borys Ye.; Ochkasov, Oleksandr B.; Serdiuk, Volodymyr N.; Ochkasov, Mykhailo
    ENG: Reducing the cost of maintenance and repair of vehicles is possible due to the early detection of malfunctions development and more complete use of the equipment resource. The introduction of contemporary information technologies allows real-time monitoring of the technical parameters for the equipment. Anomaly detection methods are used to process monitoring results. The paper presents the results of using the Unsupervised Anomaly Detection methods to analyze the signal of the rotation velocity irregularity of the armature shaft in the traction electric motor of a locomotive. When analyzing signals corresponding to faulty electric motors, anomalous components were identified. As the example of analyzing the signal of an electric motor with an increased radial clearance, the possibility of detecting the development of a malfunction at an early stage has been confirmed. The conducted research confirms the possibility of using anomaly search methods to control the technical condition of the traction electric motor in a locomotive during bench tests.