Peculiarities of reliability provision for complex systems
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Keywords

System
reliability
problem
quality
functionality
technology

How to Cite

Donchenko, M. (2020). Peculiarities of reliability provision for complex systems. Computer Science and Engineering, 1(1), 38-45. https://doi.org/10.26693/cse2020.01.038

Abstract

Reliability is one of the comprehensive indicators of system quality. The issue of security is very complex and responsible throughout the life cycle of the system. The complexity of understanding and evaluation creates quite tangible problems when creating new products due to their specificity. Therefore, in our view, understanding the nature of the processes that determine and ensure reliability is important. The point is that reliability cannot be directly measured and estimated in a real object. The most important indicator of reliability is functionality – the performance by the object of its functions in full. Functioning is ensured by the organization of the work of all effector processes to perform basic functions. The summary makes an attempt to outline the problem and suggests to do so on the basis of decision-making theory. The information may be of interest to designers, technologists, and reliability specialists.

https://doi.org/10.26693/cse2020.01.038
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References

A. M. Polovko, S. V. Gurov, Basics of reliability theory, 2nd Edition, BHV-Petersburg, Saint Petersburg, Russia, 2006, p. 704, (in Russian).

Nadiinist tekhniky. terminy ta vyznachennia [State Standard of Ukraine 2860-94. Dependability of Technics. Terms and Definitions], Standard DSTU 2860-94, (in Ukrainian), Derzhstandart Ukrainy Publ, Kyiv, Ukraine, Jan 1996 [cited 31 Jan 2020]. url: https://dnaop.com/html/2273/doc-dstun 2860-94.

M. N. Aleksandrov, Safety of the person on the sea, Shipbuilding, Leningrad, 2006, p. 209, (in Russian).

A. V. Kucherenko, V. V. Pasichnik, V. Pasko, The decision-making theory, Publishing group BHV, Kyiv, Ukraine, 2009, p. 448, (in Ukrainian).

M. V. Donchenko, Determination of element's readiness considering its ageing, Proceedings: scientific journal. Computer technologies 305 (317) 2018. 100-106, (in Ukrainian).

Y. Kondratenko, G. Kondratenko, I. Sidenko, Multi-criteria decision making and soft computing for the selection of specialized IoT platform, in: O. Chertov, T. Mylovanov, Y. Kondratenko, J. Kacprzyk, V. Kreinovich, V. Stefanuk (Eds.), ICDSIAI 2018: Recent Developments in Data Science and Intelligent Analysis of Information, Vol. 836 of Advances in Intelligent Systems and Computing, Springer, Cham, 2019, pp. 71-80. doi: https://doi.org/10.1007/978-3-319-97885-7_8.

Y. Kondratenko, G. Kondratenko, I. Sidenko, Multi-criteria decision making for selecting a rational IoT platform, in: 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT), 2018, pp. 147-152. doi: https://doi.org/10.1109/DESSERT.2018.8409117.

Y. Kondratenko, G. Kondratenko, I. Sidenko, Intelligent decision support system for selecting the university-industry cooperation model using modified antecedent-consequent method, in: J. Medina, M. Ojeda-AciegoJose, L. Verdegay, D. A. Pelta, I. P. Cabrera, B. Bouchon-Meunier, R. R. Yager (Eds.), IPMU 2018: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, Vol. 854 of Communications in Computer and Information Science, Springer, Cham, 2018, pp. 596-607. doi: https://doi.org/10.1007/978-3-319-91476-3_49.

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