Izvestiya of Saratov University. Mathematics. Mechanics. Informatics
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Izv. Saratov Univ. Math. Mech. Inform.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, 2021, Volume 21, Issue 3, Pages 390–399
DOI: https://doi.org/10.18500/1816-9791-2021-21-3-390-399
(Mi isu904)
 

This article is cited in 13 scientific papers (total in 13 papers)

Scientific Part
Computer Sciences

Modeling the reliability of the onboard equipment of a mobile robot

E. V. Larkina, T. A. Akimenkoa, A. V. Bogomolovb

a Tula State University, 92 Lenin Ave., Tula 300012, Russia
b St. Petersburg Federal Research Center of the Russian Academy of Science, 39 14th line of Vasilievsky Island, St. Petersburg 199178, Russia
References:
Abstract: Mobile robots with complex onboard equipment are investigated in this article. It is shown that their onboard equipment, for providing the required reliability parameters, must have fault-tolerant properties. For designing such equipment it is necessary to have an adequate model of reliability parameters evaluation. The approach, linked to the creation of the model, based on parallel semi-Markov process apparatus, is considered. At the first stage of modeling, the lifetime of the single block in a complex fault-recovery cycle is determined. Dependences for the calculation of time intervals and probabilities of wandering through ordinary semi-Markov processes for a common case are obtained. At the second stage, ordinary processes are included in the parallel one, which simulates the lifetime of the equipment lifetime as a whole. To simplify calculations, a digital model of faults with the use of the procedure of histogram sampling is proposed. It is shown that the number of samples permits to control both the accuracy and the computational complexity of the procedure for calculating the reliability parameters.
Key words: reliability, failure, fault-tolerance, semi-Markov process, sampling, modeling, accuracy, computational complexity.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation НШ-2553.2020.8
This work was supported by a grant from the President of the Russian Federation for state support of leading scientific schools of the Russian Federation (NSh-2553.2020.8).
Received: 04.11.2019
Accepted: 16.01.2021
Bibliographic databases:
Document Type: Article
UDC: 631.353.3
Language: English
Citation: E. V. Larkin, T. A. Akimenko, A. V. Bogomolov, “Modeling the reliability of the onboard equipment of a mobile robot”, Izv. Saratov Univ. Math. Mech. Inform., 21:3 (2021), 390–399
Citation in format AMSBIB
\Bibitem{LarAkiBog21}
\by E.~V.~Larkin, T.~A.~Akimenko, A.~V.~Bogomolov
\paper Modeling the reliability of the onboard equipment of~a~mobile~robot
\jour Izv. Saratov Univ. Math. Mech. Inform.
\yr 2021
\vol 21
\issue 3
\pages 390--399
\mathnet{http://mi.mathnet.ru/isu904}
\crossref{https://doi.org/10.18500/1816-9791-2021-21-3-390-399}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000692198400011}
Linking options:
  • https://www.mathnet.ru/eng/isu904
  • https://www.mathnet.ru/eng/isu/v21/i3/p390
  • This publication is cited in the following 13 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Известия Саратовского университета. Новая серия. Серия Математика. Механика. Информатика
    Statistics & downloads:
    Abstract page:121
    Full-text PDF :33
    References:24
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024