Skip to main content
Log in

Semi-Markov Model of a Restorable System with Elementwise Time Redundancy

  • Stochastic Systems
  • Published:
Automation and Remote Control Aims and scope Submit manuscript

Abstract

A model that describes the operation of a multi-element restorable system is constructed. After failure, each element of the system remains functionally operable due to an immediately refilled time redundancy. An element is considered to be failed if its restoration time exceeds the time redundancy. In this case, all elements that have a functional link with a failed element are not disconnected. All random variables describing the evolution of the system over time are assumed to have general distributions. This system is studied using the framework of semi-Markov processes with a discrete-continuous state space. The stationary distribution of the embedded Markov chain is found by solving the system of integral equations. Formulas for calculating the stationary availability and mean stationary sojourn times of the system in the operable and failure states are obtained. The stationary characteristics of the system are expressed through the stationary availabilities of its elements and the structural function of the system. An illustrative example of a 3-out-of-4 system is given, and its characteristics are calculated depending on different time redundancies of the elements.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Polovko, A.M. and Gurov, S.V., Osnovy teorii nadezhnosti (Foundations of Reliability Theory), St. Petersburg: BKhV-Peterburg, 2006.

    Google Scholar 

  2. Ushakov, I., Is Reliability Theory Still Alive?, Reliab.: Theor. Appl., 2007, vol. 2, no. 1, pp. 6–19.

    Google Scholar 

  3. Kashtanov, V.A. and Medvedev, A.I., Teoriya nadezhnosti slozhnykh sistem (Reliability Theory of Complex Systems), Moscow: Evropeiskii Tsentr po Kachestvu, 2002.

    Google Scholar 

  4. Cherkesov, G.N., Nadezhnost’ apparatno-programmnykh kompleksov (Reliability of Hardware-Software Complexes), St. Petersburg: Piter, 2005.

    Google Scholar 

  5. Beichelt, F. and Franken, P., Zuverläassigkeit und Instanphaltung, mathematische Methoden, Berlin: VEB Verlag Technik, 1983.

    Google Scholar 

  6. Gnedenko, B.V., Belyaev, Yu.K., and Solov’ev, A.D., Matematicheskie metody v teorii nadezhnosti (Mathematical Methods in Reliability Theory), Moscow: Nauka, 1965.

    Google Scholar 

  7. Barlow, R. and Proschan, F., Mathematical Theory of Reliability, New York: Wiley, 1965.

    MATH  Google Scholar 

  8. Ushakov, I.A., Probabilistic Reliability Models, San Diego: Wiley, 2012.

    Book  Google Scholar 

  9. Kredentser, B.P., Prognozirovanie nadezhnosti sistem s vremennoi izbytochnost’yu (Reliability Prediction for Systems with Time Redundancy), Kiev: Naukova Dumka, 1978.

    Google Scholar 

  10. Cherkesov, G.N., Nadezhnost’ tekhnicheskikh sistem s vremennoi izbytochnost’yu (Reliability of Technical Systems with Time Redundancy), Moscow: Sovetskoe Radio, 1974.

    Google Scholar 

  11. Kopp, V.Ya., Obzherin, Yu.E., and Peschansky, A.I., Stokhasticheskie modeli avtomatizirovannykh proizvodstvennykh sistem s vremennym rezervirovaniem (Stochastic Models of Computerized Manufacturing Systems with Time Reservation), Sevastopol: Sevastop. Natsion. Tekh. Univ., 2001.

    Google Scholar 

  12. Sennova, E.V., Smirnov, A.V., Ionin, A.A., et al., Nadezhnost’ sistem energetiki i ikh oborudovaniya (Reliability of Energy Systems and Their Equipment), Rudenko, Yu.N., Ed., Novosibirsk: Nauka, 2000, 4 vols.

  13. Korolyuk, V.S. and Turbin, A.F., Protsessy markovskogo vosstanovleniya v zadachakh nadezhnosti sistem (Markovian Restoration Processes in System Reliability Problems), Kiev: Naukova Dumka, 1982.

    MATH  Google Scholar 

  14. Korlat, A.N., Kuznetsov, V.N., Novikov, M.I., et al., Polumarkovskie modeli vosstanavlivaemykh sistem i sistem massovogo obsluzhivaniya (Semi-Markov Models of Restorable Systems and Queueing Systems), Kishinev: Shtiintsa, 1991.

    MATH  Google Scholar 

  15. Obzherin, Yu.E. and Peschansky, A.I., Calendar Maintenance of Arbitrarily Structured Systems, Cybern. Syst. Anal., 2006, vol. 42, no. 2, pp. 219–233.

    Article  Google Scholar 

  16. Peschansky, A.I., Stationary Characteristics of an Unreliable One-Server Queueing System with Losses and Immediately Refilled Time Reserve, Vestn. Samarsk. Gos. Tekh. Univ., Ser. Tekh. Nauk., 2018, no. 2 (58), pp. 36–46.

    Google Scholar 

  17. Obzherin, Yu.E. and Peschansky, A.I., Reliability Analysis of a System with Gradually Refilled Time Reserve, Cybern. Syst. Anal., 2001, vol. 37, no. 3, pp. 361–372.

    Article  Google Scholar 

  18. Obzherin, Yu.E. and Peschansky, A.I., Reliability Analysis of a System with Combined Time Reserve, Cybern. Syst. Anal., 2004, vol. 40, no. 5, pp. 747–754.

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the Ministry of Education and Science of the Russian Federation (state order no. 1.10513.2018/11.12) and by the Russian Foundation for Basic Research, project no. 19-01-00704.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. I. Peschansky.

Additional information

This paper was recommended for publication by V.M. Vishnevskii, a member of the Editorial Board

Russian Text © The Author(s), 2019, published in Avtomatika i Telemekhanika, 2019, No. 12, pp. 146–159.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Peschansky, A.I. Semi-Markov Model of a Restorable System with Elementwise Time Redundancy. Autom Remote Control 80, 2206–2216 (2019). https://doi.org/10.1134/S0005117919120099

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0005117919120099

Keywords

Navigation