Development of a mathematical model of reliable structures of information-control systems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.265953

Keywords:

information redundancy, information security, eliability of event recognition, possibility of correct detection

Abstract

A mathematical model of the information system (IS) for monitoring the state of objects that may be exposed to extreme influences has been built. The system consists of n devices that work independently of each other. To construct the specified information system, which has the minimum permissible reliability of event recognition, a class of structures of the type «k with n» is considered.

Formulas for determining the probabilistic characteristics of n parallel reserved sensors for structures of the «k with n» type were derived; the probability of these events was calculated; and plots of their distribution were constructed. The peculiarity of the derived formulas is that they can be implemented on logical elements with which one can build a physical decision support device. The number of sensors and their corresponding probabilities of correct detection of fire at the given majority values of fire probability were also determined; the cost indicators of the information system were defined.

A method for improving the reliability of IS has been developed, based on the use of the optimal number of information sensor. The ratio of finding probabilistic states of IS for structures of the «k with n» type was obtained. Algorithms for calculating the probabilities of IS states, as well as an algorithm for determining the number of information sensors and the corresponding probabilities of fire detection, have been developed. The feature of these algorithms is that they make it possible to determine the optimal number of information sensors. An estimate of the effectiveness of IS indicators of the considered types of structures was found: the probability of correct detection, the probability of non-detection, and false alarm.

The reported results can be used to select the optimal structure for recognizing dangerous flight situations: choosing the number of sensors corresponding to the high probability of correct detection and the minimum probabilities of non-detection and false alarms, taking into consideration the cost of sensors.

Author Biographies

Ali Al-Ammouri, National Transport University

Doctor of Technical Sciences, Professor

Department of Information Analysis and Information Security

Iryna Lebid, National Transport University

PhD, Associate Professor

Department of International Road Transportation and Customs Control

Marina Dekhtiar, National Transport University

PhD

Department of Information Analysis and Information Security

Ievgenii Lebid, National Transport University

PhD, Associate Professor

Department of Transport Law and Logistics

Hasan Al-Ammori, National Transport University

Postgraduate Student

Department of International Road Transportation and Customs Control

References

  1. Zaripova, G. (2013). Increase of information transfer authenticity for non-stationary processes on the basis of neurofuzzy data processing system. Applied Technologies and Innovations, 9 (1), 1–11. doi: https://doi.org/10.15208/ati.2013.1
  2. Li, H., Zhao, Q., Yang, Z. (2008). Reliability Monitoring of Fault Tolerant Control Systems with Demonstration on an Aircraft Model. Journal of Control Science and Engineering, 2008, 1–10. doi: https://doi.org/10.1155/2008/265189
  3. Gökdere, G., Gürcan, M. (2015). Erlang Strength Model for Exponential Effects. Open Physics, 13 (1), 395–399. doi: https://doi.org/10.1515/phys-2015-0057
  4. Qiang, L. (2011). Estimation of Fire Detection Time. Procedia Engineering, 11, 233–241. doi: https://doi.org/10.1016/j.proeng.2011.04.652
  5. Al-Ammouri, A., Dyachenko, P., Degtiarova, A. (2017). Development of a mathematical model of information serial redundancy of management information systems of the aircraft fire alarm. Eastern-European Journal of Enterprise Technologies, 2 (9 (86)), 4–10. doi: https://doi.org/10.15587/1729-4061.2017.96296
  6. Al-Ammouri, A., Klochan, A., Al-Ammori, H., Degtiarova, A. (2018). Logic-Mathematical Model for Recognition the Dangerous Flight Events. 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP). doi: https://doi.org/10.1109/dsmp.2018.8478465
  7. Pronikov, A. S. (2002). Parametricheskaya nadezhnost' mashin. Moscow: Izd-vo MGTU im. N. E. Baumana, 559.
  8. Strel'nikov, V. P., Fedukhin, A. V. (2002). Otsenka i prognozirovanie nadezhnosti elektronnykh elementov i sistem. Kyiv: Logos, 486.
  9. Krasnobaev, V., Kuznetsov, A., Popenko, V., Kuznetsova, T. (2021). Mathematical Model of the Reliability of a Computer System which is Functioning in the Residual Class System, Taking into Account the Reliability of Switching Devices. 2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT). doi: http://dx.doi.org/10.1109/AICT52120.2021.9628929
  10. Brzhevska, Z., Dovzhenko, N., Haidur, H., Anosov, A. (2019). Criteria for monitoring the reliability of information in the information space. Cybersecurity: Education, Science, Technique, 1 (5), 53–60. doi: https://doi.org/10.28925/2663-4023.2019.5.5260
  11. Meeker, W. Q., Escobar, L. A., Pascual, F. G. (2021). Statistical Methods for Reliability Data. Wiley, 704. Available at: https://www.wiley.com/en-us/Statistical+Methods+for+Reliability+Data,+2nd+Edition-p-9781118115459
  12. Temnikov, F. E., Afonin, V. A., Dmitriev, V. I. (1971). Teoreticheskie osnovy informatsionnoy tekhniki. Moscow: «Energiya», 410.
  13. Levin, B. R. (1989). Teoreticheskie osnovy staticheskoy radiotekhniki. Moscow: Radio i svyaz', 656.
  14. Luzhetskiy, V. K. (1987). Protivopozharnaya zaschita samoletov grazhdanskoy aviatsii. Moscow: Transport, 144.
  15. Abezgaus, T. T., Tron', A. P. et al. (1989). Spravochnik po veroyatnostnym raschetam. Moscow: Voenizdat, 656.
  16. Gnedenko, B. V. (2005). Kurs teorii veroyatnostey. Moscow: Editorial URSS, 448.
  17. Venttsel', E. S., Ovcharov, L. A. (1988). Teoriya veroyatnosti i ee inzhenernye prilozheniya. Moscow: Nauka, 480.
  18. Al-Ammori, A., Dmytrychenko, A. N., Al-Ammori, H. A. (2019). Probabilistic-mathematical models for formation of information flows in aircraft fire alarm system. Journal of Automation and Information Sciences, 51 (7), 67–80. doi: https://doi.org/10.1615/JAutomatInfScien.v51.i7.60
  19. Al-Ammouri, A., Dmytrychenko, A., Al-Ammori, H., Kharuta, V. (2019). Development of structures of the aircraft fire alarm system by means of nested modules. Eastern-European Journal of Enterprise Technologies, 2 (9 (98), 14–23. doi: https://doi.org/10.15587/1729-4061.2019.163022
Development of a mathematical model of reliable structures of information-control systems

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Published

2022-10-27

How to Cite

Al-Ammouri, A., Lebid, I., Dekhtiar, M., Lebid, I., & Al-Ammori, H. (2022). Development of a mathematical model of reliable structures of information-control systems. Eastern-European Journal of Enterprise Technologies, 5(9(119), 68–78. https://doi.org/10.15587/1729-4061.2022.265953

Issue

Section

Information and controlling system