Issue |
E3S Web Conf.
Volume 471, 2024
XIV International Conference on Transport Infrastructure: Territory Development and Sustainability (TITDS-XIV-2023)
|
|
---|---|---|
Article Number | 05019 | |
Number of page(s) | 6 | |
Section | Transportation Operations and Logistics Dynamics | |
DOI | https://doi.org/10.1051/e3sconf/202447105019 | |
Published online | 04 January 2024 |
The concept of determining the residual life of vehicle assemblies and components
1 Kazan Federal University, Kazan, 420008, Russia
2 Voronezh State Forestry University named after G.F. Morozov, Voronezh, 394087, Russia
3 Kazan State Agrarian University, Kazan, 420015, Russia
* Corresponding author: nuretddamir@yandex.ru
Determining the residual life of vehicle assemblies and components is necessary to solve current problems of automobile transport: transition to maintenance (MOT) based on technical condition, development of a built-in diagnostic system, remote monitoring of the technical condition of vehicles. The improved design and high level of quality of modern cars would allow maintenance to be carried out more frequently than required by regulations. However, in order to make a decision on increasing the frequency, it is necessary to assess the actual technical condition of units and components and predict their residual life. Work is underway in the domestic automotive industry and abroad to create unmanned vehicles. In the absence of a driver, technical condition monitoring can only be performed using the built-in diagnostic system. The system must warn about the approaching limit state and take appropriate measures to prevent an emergency. The embedded system should be based on determining the current technical condition and estimating the remaining life using diagnostic parameters. One of the important tasks when assessing the technical condition and determining the residual life is to establish the relationship between structural and diagnostic parameters.
© 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.