Browsing by Author "Ochkasov, Mykhailo"

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    Devising a Procedure for Calculating the Technical Condition Index of Locomotive Nodes Based on Monitoring Results
    (Technology Center, Kharkov, Ukraine, 2021) Bodnar, Borys Ye.; Ochkasov, Oleksandr B.; Ochkasov, Mykhailo
    ENG: The widespread introduction of information technologies in the systems that manage technical fleets, the use of maintenance and repair systems based on risk assessment, is based on the calculation of a large enough number of indicators. Modern locomotives are equipped with systems for monitoring and diagnosing technical condition. Combining these systems with the Internet of Things and Big Data technologies provides an opportunity to use completely new approaches to fleet management. At the initial stage of the construction of such systems, it is necessary to devise criteria that make it possible to automatically determine the technical condition of a locomotive and its components in order to identify the locomotive in the total fleet that requires maintenance or repair. A procedure has been proposed for calculating the technical condition index of locomotives and their components based on data from monitoring systems. The procedure is based on the formation of latent diagnostic parameters employing the principal component method and on the subsequent calculation of the weight coefficients of these parameters applying the method of hierarchy analysis. The special feature of the proposed procedure is that when calculating the index, those latent diagnostic parameters are used that are derived from the group of control parameters whose weight coefficients are computed using the method of hierarchy analysis without involving experts. This paper reports the results from calculating the informativeness of the diagnostic parameters of load, loss, input, as well as their weight coefficients. The highest information content, from 0.5 to 0.85, is demonstrated by the load parameter; the smallest (0.05‒0.26) ‒ the input parameter. The average value and the dependences of changes in the technical condition index of a hydraulic transmission during the tests have been determined. Analysis of the technical condition index makes it possible to assess the transmission’s response to changes in test modes, the dynamics of changes in losses.
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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.