| Issue |
MATEC Web Conf.
Volume 224, 2018
International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018)
|
|
|---|---|---|
| Article Number | 04008 | |
| Number of page(s) | 7 | |
| Section | Modelling of Technical Systems. CAD/CAM/CAE Systems | |
| DOI | https://doi.org/10.1051/matecconf/201822404008 | |
| Published online | 30 October 2018 | |
Semi-Markov model of a technical system with the component-wise instantly replenished time reserve
1
Sevastopol State University, Higher mathematics Department, Sevastopol, Russia
2
Sevastopol State University, Department of Instrument Systems and Automation of Technological Processes, Sevastopol, Russia
* Corresponding author: objsev@mail.ru
Time redundancy is one of the methods to increase the reliability and efficiency of technical systems. When it is used, the system is given additional time (a time reserve) for restoring characteristics. In this paper we construct a semi-Markov model of a two-component system with a component-wise instantly replenished time reserve. In this paper we construct a semi-Markov model of a two-component system with a component-wise instantaneous replenishment of the time reserve. For an approximate determination of the stationary characteristics of the reliability of the system, the phase merging scheme algorithm is used.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/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.