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Journal Achievements of Modern Radioelectronics №12 for 2021 г.
Article in number:
Statistical-physical analysis of the reliability of radio electronics products based on a mixture of distributions
Type of article: scientific article
DOI: https://doi.org/10.18127/j20700784-202112-05
UDC: 30.607
Authors:

S.Ya. Grodzenskiy1, Ya.S. Grodzenskiy1, P.V. Mareshchenkov1

1 RTU MIREA (Moscow, Russia)

Abstract:

The analysis of the reliability of products remains an urgent task, especially when it comes to radio electronics products produced in small batches, when traditional methods of mathematical statistics are ineffective. In this case, it is advisable to use methods combining statistical and physical approaches. For example, a statistical-physical method, when by the type and values of the parameters of the distribution of the moments of failure of the product, an assumption is made about its possible causes. The purpose of the article is to consider the possibility of a statistical-physical approach using mixtures of different distributions to describe the time dependence of the failure rate.

As a result, a statistical-physical method of reliability analysis based on a model described by a mixture of exponential and Weibull distributions is substantiated. Examples of using the proposed method on specific products are given.

Pages: 42-62
For citation

Grodzenskiy S.Ya., Grodzenskiy Ya.S., Mareshchenkov P.V. Statistical-physical analysis of the reliability of radio electronics products based on a mixture of distributions. Achievements of modern radioelectronics. 2021. V. 75. № 12. P. 63–68. DOI: https://doi.org/ 10.18127/j20700784-202112-05 [in Russian]

References
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  2. Grodzenskiy S.Ya., Marin V.P., Reutov A.P. Otsenka pokazateley nadezhnosti elektronnykh priborov po dannym ekspluatatsii. Naukoemkie tekhnologii. 2003. № 2. T. 4. S. 75–78. [in Russian]
  3. Grodzenskiy Ya.S. Statistiko-fizicheskiy podkhod kak sredstvo upravleniya kachestvom. Standarty i kachestvo. 2018. № 11. S. 54–57. [in Russian]
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Date of receipt: 25.10.2021
Approved after review: 10.11.2021
Accepted for publication: 15.11.2021