Probabilistic models reliability of information and control systems

Ali Al-Ammouri; Hasan Al-Ammori; Arsen Klochan; Anastasia Degtiarova

doi:10.14254/jsdtl.2018.3-1.6

Ali Al-Ammouri ⁽¹⁾ , Hasan Al-Ammori ⁽²⁾ , Arsen Klochan ⁽³⁾ , Anastasia Degtiarova ⁽⁴⁾

(1) National Transport University, Faculty of Transport and Information Technologies, Department of Electronics and Computing Equipment. 1, Mykhailа Omelianovycha - Pavlenka Str. Kyiv, Ukraine 01010 , Ukraine

(2) National Transport University, Faculty of Transport and Information Technologies, Department of International Road Transportation and Customs Control. 1, Mykhailа Omelianovycha - Pavlenka Str. Kyiv, Ukraine 01010 , Ukraine

(3) National Transport University, Faculty of Transport and Information Technologies, Department of Electronics and Computing Equipment. 1, Mykhailа Omelianovycha - Pavlenka Str. Kyiv, Ukraine 01010 , Ukraine

(4) National Transport University, Faculty of Transport and Information Technologies, Department of Electronics and Computing Equipment. 1, Mykhailа Omelianovycha - Pavlenka Str. Kyiv, Ukraine 01010 , Ukraine

https://doi.org/10.14254/jsdtl.2018.3-1.6

Issue
Vol. 3 No. 1 (2018): Volume 3 Issue 1, 2018

Keywords:

information and control system, mathematical modeling, Markov process, probabilistic model, reliability, optimal maintenance operation term

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Abstract

The paper deal with devoting the problem of reliability prediction and modeling the functioning process of information and control systems (ICS), which are described by the Markov random process. The methodology of the study consist in considering ICS as Markov systems. Modeling the functioning process of information and control systems will increase authenticity and reliability of information from the ICS, as well as improve the efficiency of its work. As an example, the mathematical model of the functioning the computer system of the dispatch service is constructed in the paper. Mathematical modeling was conducted in the environment of MathCad. Mathematical modeling allows determining the average number of steps before system moves into the absorbing state. Taking into account the length of stay the system in each condition allows determining the average life of the system until the full failure. The development of model and technology for calculating the characteristics of stochastic systems allows investigating a wide class of such systems and determining optimal maintenance operation term in order to ensure reliability and reduce the waste on downtime.

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References

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Authors

Ali Al-Ammouri

National Transport University, Faculty of Transport and Information Technologies, Department of Electronics and Computing Equipment. 1, Mykhailа Omelianovycha - Pavlenka Str. Kyiv, Ukraine 01010

http://orcid.org/0000-0002-0375-6108

Hasan Al-Ammori

National Transport University, Faculty of Transport and Information Technologies, Department of International Road Transportation and Customs Control. 1, Mykhailа Omelianovycha - Pavlenka Str. Kyiv, Ukraine 01010

http://orcid.org/0000-0002-1371-2205

Arsen Klochan

National Transport University, Faculty of Transport and Information Technologies, Department of Electronics and Computing Equipment. 1, Mykhailа Omelianovycha - Pavlenka Str. Kyiv, Ukraine 01010

http://orcid.org/0000-0002-4225-9382

VArsenchuk@gmail.com (Primary Contact)

Anastasia Degtiarova

National Transport University, Faculty of Transport and Information Technologies, Department of Electronics and Computing Equipment. 1, Mykhailа Omelianovycha - Pavlenka Str. Kyiv, Ukraine 01010

http://orcid.org/0000-0001-5883-6060

Al-Ammouri, A., Al-Ammori, H., Klochan, A., & Degtiarova, A. (2018). Probabilistic models reliability of information and control systems. Journal of Sustainable Development of Transport and Logistics, 3(1), 60–69. https://doi.org/10.14254/jsdtl.2018.3-1.6

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