Rodyti trumpą aprašą

dc.contributor.authorBondar, Boris
dc.contributor.authorOckasov, Oleksandr
dc.contributor.authorPetrenko, Viačeslav
dc.contributor.authorMartishevskij, Michail
dc.date.accessioned2023-12-22T07:06:13Z
dc.date.available2023-12-22T07:06:13Z
dc.date.issued2023
dc.identifier.other(SCOPUS_ID)85171268596
dc.identifier.urihttps://etalpykla.vilniustech.lt/xmlui/handle/123456789/153603
dc.description.abstractThe study is aimed at replacing outdated approaches in the organization of maintenance of the locomotive fleet. The article presents a 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 a 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 a 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 a 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 a group of physical process sensors. The implementation of the considered approach will ensure the effective use of monitoring results and a gradual transition to predictive maintenance.eng
dc.formatPDF
dc.format.extentp. 726-736
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.ispartofseriesLecture Notes in Intelligent Transportation and Infrastructure Part F1379 2523-3440 2523-3459
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbySpringerLink
dc.source.urihttps://link.springer.com/chapter/10.1007/978-3-031-25863-3_70
dc.titleImplementing intelligent monitoring of the technical condition of locomotive hydraulic transmissions
dc.typeStraipsnis konferencijos darbų leidinyje Scopus DB / Paper in conference publication in Scopus DB
dcterms.references27
dc.type.pubtypeP1b - Straipsnis konferencijos darbų leidinyje Scopus DB / Article in conference proceedings Scopus DB
dc.contributor.institutionUkrainian State University of Science and Technologies
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyTransporto inžinerijos fakultetas / Faculty of Transport Engineering
dc.subject.researchfieldT 003 - Transporto inžinerija / Transport engineering
dc.subject.vgtuprioritizedfieldsTD0101 - Autonominis sausumos ir oro transportas / Autonomous land and air transport
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enrail vehicle
dc.subject.enhydraulic transmission
dc.subject.enmaintenance strategy
dc.subject.enprincipal components analysis
dc.subject.enlatent diagnostic features
dc.subject.enparameter informativeness
dcterms.sourcetitleTRANSBALTICA XIII: Transportation Science and Technology. Proceedings of the 13th International Conference TRANSBALTICA, September 15-16, 2022, Vilnius, Lithuania
dc.publisher.nameSpringer
dc.publisher.cityCham
dc.identifier.doi2-s2.0-85171268596
dc.identifier.doi85171268596
dc.identifier.doi2
dc.identifier.doi145267182
dc.identifier.doi10.1007/978-3-031-25863-3_70
dc.identifier.elaba177587633


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Rodyti trumpą aprašą