Research of method for determining reliability of technical system using simulation tests

Authors

DOI:

https://doi.org/10.15587/2312-8372.2016.66481

Keywords:

probability theory, mathematical statistics, checking of plausibility of the hypotheses, probability of failure

Abstract

To analyze the reliability parameters such probability of failure need to collect statistics. It is necessary to test certain objects. Often such tests spent a lot of money. It is not effective, for example, in cases where you just need to check out the new method and model. Therefore there is a need to develop a method to simulate the reliability test for sample party.

As a result, this task has received the following: it was further developed Monte Carlo method, which is known as the method in which it is considered checking of plausibility of the hypotheses that led to the improvement of its adaptation for simulation process of the tests, leading to increased likelihood of probability of failure The use of this statistics in the proposed improved Monte Carlo method results in reduces of errors during the simulation modeling and the processing of the actual statistics. Use of checking of plausibility of the hypotheses result in adequate choice of theoretical distribution and planning of testing is reduced to collect the necessary statistics.

Author Biographies

Сергій Вікторович Єгоров, National Aviation University, ave. Kosmonavta Komarova, 1, Kyiv

Assistant

Department of Information Security

Тетяна Юріївна Шкварницька, National Aviation University, ave. Kosmonavta Komarova, 1, Kyiv

Candidate of Technical Sciences, Associate Professor

Department of Computerized Electrical Systems and Technology

References

  1. The Status of Reliability Engineering Technology. (1995). RAC Journal, 1, 5–7.
  2. Coppola, A. (1997). The Status of Reliability Engineering Technology. Reliability Society Newsletter, 43, 7–10.
  3. Fuqua, N. B. (1995). «Physics of Failure» – historic perspective. RAC Journal, 2, 27–30.
  4. Neubeck, K. (1994). MIL-HDBK-217 and the real. RAC Journal, 2, 15–18.
  5. Zelen, M., Dannemiller, M. C. (1961, February). The Robustness of Life Testing Procedures Derived from the Exponential Distribution. Technometrics, Vol. 3, № 1, 29–49. doi: 10.1080/00401706.1961.10489925
  6. In: Gnedenko, B. V. (1987). Nadezhnost' i effektivnost' v tehnike. Vol. 2. Matematicheskie metody v teorii nadezhnosti i effektivnosti. Moscow: Mashinostroenie, 280.
  7. In: Sudakov, R. S., Teskin, O. I. (1989). Nadezhnost' i effektivnost' v tehnike. Vol. 6. Nadezhnost' i effektivnost' v tehnike. Moscow: Mashinostroenie, 376.
  8. Vinarskii, M. S., Lur'e, M. V. (1975). Planirovanie eksperimenta v tehnologicheskih issledovaniiah. Kyiv: Tekhnika, 163.
  9. Bhattacharyya, G. K., Fries, A. (1982, December). Fatigue Failure Models – Birnbaum-Saunders vs. Inverse Gaussian. IEEE Transactions on Reliability, Vol. R-31, № 5, 439–441. doi:10.1109/tr.1982.5221421
  10. The Bonch-Bruevich Saint-Petersburg state university of communication. Available: http://www.sut.ru/eng
  11. Venttsel', E. S., Ovcharov, L. A. (2000). Teoriia veroiatnostei i eio inzhenernye prilozheniia. Moscow: Vysshaia shkola, 480.
  12. Venttsel', E. S. (1969). Teoriia veroiatnostei. Moscow: Nauka, 564.

Downloads

Published

2016-03-29

How to Cite

Єгоров, С. В., & Шкварницька, Т. Ю. (2016). Research of method for determining reliability of technical system using simulation tests. Technology Audit and Production Reserves, 2(2(28), 25–29. https://doi.org/10.15587/2312-8372.2016.66481

Issue

Vol. 2 No. 2(28) (2016): Information technologies. Mathematical modeling

Section

Information Technologies: Original Research

License

Copyright (c) 2016 Сергій Вікторович Єгоров, Тетяна Юріївна Шкварницька

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.