Diesel Engines In-Place Diagnosis of Diesel Locomotives: Modern Approaches and Practical Application
| dc.contributor.author | Bodnar, Borys Ye. | en |
| dc.contributor.author | Ochkasov, Oleksandr B. | en |
| dc.contributor.author | Studenko, O. | en |
| dc.date.accessioned | 2025-01-13T19:12:05Z | |
| dc.date.available | 2025-01-13T19:12:05Z | |
| dc.date.issued | 2024 | |
| dc.description | B. Bodnar: ORCID 0000-0002-3591-4772; O. Ochkasov: ORCID 0000-0002-7719-7214 | en |
| dc.description.abstract | ENG: This paper is devoted to research of modern methods for the diesel engines in-place diagnosis of diesel locomotives. In the conditions of intensive operation and growing requirements for the reliability of locomotives, ensuring timely detection and elimination of malfunctions is critically important. A review of modern approaches, such as vibration diagnostics, acoustic analysis, and the use of computer monitoring systems, allows us to assess their effectiveness and feasibility of application in practice. The authors paid special attention to methods of processing information obtained as a result of diagnostics, in particular, the use of neural networks, artificial intelligence, and machine learning to analyze and predict the technical condition of engines. The article also discusses the practical aspects of implementing these methods in rail transport, including technical requirements, economic efficiency, and advantages for the operational reliability of diesel locomotives. The results of experimental studies and examples of successful application of in-place diagnosis methods on real objects are presented. | en |
| dc.identifier.citation | Bodnar B., Ochkasov O., Studenko O. Diesel Engines In-Place Diagnosis of Diesel Locomotives: Modern Approaches and Practical Application. Transport Means 2024 : Proc. of the 28th Intern. Sci. Conf. (Oct. 02–04, 2024, Kaunas, Lithuania). Kaunas University of Technology [et al.]. Kaunas, 2024. Р. 351–357. DOI: 10.5755/e01.2351-7034.2024.P351-357. | en |
| dc.identifier.doi | DOI: 10.5755/e01.2351-7034.2024.P351-357 | en |
| dc.identifier.issn | 2351-7034 (online) | |
| dc.identifier.uri | https://crust.ust.edu.ua/handle/123456789/19457 | |
| dc.identifier.uri | https://ebooks.ktu.edu/pdfreader/transport-means-2024.-proceedings-28th-international-scientific-conference | |
| dc.language.iso | en | |
| dc.publisher | Printing House “Technologija”, Kaunas, Lithuania | en |
| dc.subject | technical diagnostics | en |
| dc.subject | diesel locomotive engines | en |
| dc.subject | computer monitoring systems | en |
| dc.subject | artificial intelligence | en |
| dc.subject | machine learning | en |
| dc.subject | КЛ | |
| dc.title | Diesel Engines In-Place Diagnosis of Diesel Locomotives: Modern Approaches and Practical Application | en |
| dc.type | Article | en |