Issue |
E3S Web Conf.
Volume 413, 2023
XVI International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2023”
|
|
---|---|---|
Article Number | 02048 | |
Number of page(s) | 11 | |
Section | Agricultural Engineering and Mechanization | |
DOI | https://doi.org/10.1051/e3sconf/202341302048 | |
Published online | 11 August 2023 |
Application of the method of mathematical statistics to study the wear of parts of modern machines
Kuban State Agrarian University named after I.T. Trubilin, Kalinin 13, 350044 Krasnodar, Russia
* Corresponding author: evgenij.shapiro@mail.ru
This article describes the method of mathematical statistics for studying the wear of parts of modern machines. It is examined how the service life of the parts is established. It was also assumed that the statistical data on the size of worn parts obey the law of normal distribution. The figure presented in the paper illustrates the scheme for determining the inter-repair service life of the part for this case according to statistical data. An example is considered that allows to establish the norm of the maintenance period of the support roller of a modern tractor VT-150. This article is recommended for agricultural specialists, researchers, teachers, postgraduates, undergraduates and students of agricultural universities in the field of training “Agroengineering”.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.