Implementing Intelligent Monitoring of the Technical Condition of Locomotive Hydraulic Transmissions

dc.contributor.authorBodnar, Boris Ye.en
dc.contributor.authorOchkasov, Oleksandr B.en
dc.contributor.authorPetrenko, Viačeslaven
dc.contributor.authorMartishevskij, Michailen
dc.date.accessioned2023-03-01T11:29:58Z
dc.date.available2023-03-01T11:29:58Z
dc.date.issued2023
dc.descriptionB. Bodnar: ORCID 0000-0002-3591-4772; O. Ochkasov: ORCID 0000-0002-7719-7214; М. Martishevskij: ORCID 0000-0003-4330-4322en
dc.description.abstractENG: The study is aimed at replacing outdated approaches in the organization of maintenance of the locomotive fleet. The article presents а comparative analysis of maintenance strategies for traction rolling stock. The necessity of introducing control over the technical condition of locomotives to ensure the transition to а preventive maintenance system is substantiated. Directions of research - adjustment of the existing volumes and frequency of repairs, the introduction of individual repair strategies, the introduction of adapted and flexible approaches to the maintenance of locomotives. To improve the efficiency of monitoring the technical condition of locomotives, the use of factor analysis methods is proposed. The purpose of using factor analysis methods is to reduce the number of analysed parameters, while the information content of monitoring the technical condition should not decrease. The results of applying the method of principal components to assess the technical condition of the hydraulic transmission of а diesel locomotive during testing are presented. It is proposed to use the concept of latent diagnostic parameters to assess the technical condition of locomotive units. Considering the physical meaning of the processes occurring in the hydraulic transmission, as а result of the analysis, three groups of latent parameters were identified: "Load", "Losses", "Input". These parameters characterize the technical condition of the hydraulic transmission. Each of the latent parameters includes information from а group of physical process sensors. The implementation of the considered approach will ensure the effective use of monitoring results and а gradual transition to predictive maintenance.en
dc.description.sponsorshipVilnius Gedirninas Technical University, Vilnius, Lithuaniaen
dc.identifierDOI: 10.1007/978-3-031-25863-3_70
dc.identifier.citationBodnar B., Ochkasov O., Petrenko V., Martishevskij M. Implementing Intelligent Monitoring of the Technical Condition of Locomotive Hydraulic Transmissions. TRANSBALTICA XIII: Transportation Science and Technology : Proc. of the 13th Intern. Conf., Sept. 15–16, 2022, Vilnius, Lithuania. Cham : Springer, 2023. Р. 726–736. DOI: 10.1007/978-3-031-25863-3_70.en
dc.identifier.isbn978-3-031-25862-6
dc.identifier.urihttp://eadnurt.diit.edu.ua/jspui/handle/123456789/16547
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-031-25863-3_70
dc.language.isoen
dc.publisherSpringer, Chamen
dc.subjectrail vehicleen
dc.subjecthydraulic transmission
dc.subjectmaintenance strategyen
dc.subjectprincipal components analysisen
dc.subjectlatent diagnostic featuresen
dc.subjectparameter informativenessen
dc.subjectКЛuk_UA
dc.titleImplementing Intelligent Monitoring of the Technical Condition of Locomotive Hydraulic Transmissionsen
dc.typeArticleen
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