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DC Field | Value | Language |
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dc.contributor.author | Martynov, Igor | - |
dc.contributor.author | Gerlici, Juraj | - |
dc.contributor.author | Trufanova, Alyona | - |
dc.contributor.author | Petuhov, Vadim | - |
dc.contributor.author | Shovkun, Vadim | - |
dc.contributor.author | Kravchenko, Kateryna | - |
dc.date.accessioned | 2024-04-06T08:57:09Z | - |
dc.date.available | 2024-04-06T08:57:09Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Development of a Procedure for Determining the Pre-Failure Condition of the Axle Boxes of Railway Rolling Stock / I. Martynov, Ju. Gerlici, A. Trufanova, V. Petuhov, V. Shovkun, K. Kravchenko // Communications. - 2022. - Vol. 24, № 1. - Р. 87-93. | uk_UA |
dc.identifier.issn | 1335-4205 (print); 2585-7878 (online) | - |
dc.identifier.uri | http://lib.kart.edu.ua/handle/123456789/21660 | - |
dc.description.abstract | It has been determined that the greatest risk of an error in determining the technical condition of the axle box unit in the so-called "zone of uncertainty" is in the impossibility of unambiguously assessing its technical condition. To solve this problem, a model is proposed in the form of an n-dimensional radius vector, which has a direction towards an increase in the probability of failure and a deterioration in its parameters' values. Such a model for determining the axle box unit's pre-failure condition will reduce the risk of errors in decision-making. | uk_UA |
dc.language.iso | en | uk_UA |
dc.publisher | University of Zilina | uk_UA |
dc.subject | axle box unit | uk_UA |
dc.subject | control of technical condition | uk_UA |
dc.subject | built-in control | uk_UA |
dc.subject | ambiguity area | uk_UA |
dc.subject | pre-failure condition | uk_UA |
dc.subject | radius vector | uk_UA |
dc.title | Development of a Procedure for Determining the Pre-Failure Condition of the Axle Boxes of Railway Rolling Stock | uk_UA |
dc.type | Article | uk_UA |
Appears in Collections: | 2022 |
Files in This Item:
File | Description | Size | Format | |
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Martynov.pdf | 366.11 kB | Adobe PDF | View/Open |
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