Determination of the Risk of Failures of Locomotive Diesel Engines in Maintenance
Denys Baranovskyi (),
Maryna Bulakh,
Adam Michajłyszyn,
Sergey Myamlin and
Leonty Muradian
Additional contact information
Denys Baranovskyi: Faculty of Mechanics and Technology, Rzeszow University of Technology, 37-450 Stalowa Wola, Poland
Maryna Bulakh: Faculty of Mechanics and Technology, Rzeszow University of Technology, 37-450 Stalowa Wola, Poland
Adam Michajłyszyn: Faculty of Mechanics and Technology, Rzeszow University of Technology, 37-450 Stalowa Wola, Poland
Sergey Myamlin: Department of Development and Technical Policy, JSC “Ukrainian Railway”, 03150 Kyiv, Ukraine
Leonty Muradian: Department of Wagons, Ukrainian State University of Science and Technologies, 49010 Dnipro, Ukraine
Energies, 2023, vol. 16, issue 13, 1-14
Abstract:
This article presents a mathematical model of the risk of failures, depending on the operating parameters, of locomotive diesel engines. The purpose of this study is to determine the risk of failures of locomotive diesel engines in maintenance. The theory of probability and the theory of logic and reliability are used in this theoretical study. The innovations and main works are the first approaches to calculating the risk of failures of locomotive diesel engines by hourly fuel consumption, which, under operational conditions, allows for extending the life of locomotive diesel engines during maintenance. As a result, a maintenance process for 5D49 diesel engines is developed in a locomotive depot. When managing the maintenance processes of 5D49 diesel engines in the locomotive depot, it is determined that the optimal mileage is 45,000 km. The resource of 5D49 diesel engines in the locomotive depot increased by 2.4% in the management of the maintenance process compared to the existing maintenance system.
Keywords: maintenance; risk; locomotive diesel engines; management; reliability; probability of failure-free operation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://www.mdpi.com/1996-1073/16/13/4995/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/13/4995/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:13:p:4995-:d:1181050
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().