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Journal Information-measuring and Control Systems №6 for 2022 г.
Article in number:
Algorithm and mathematical model for local optimization of technical information processing system parameters and functionality of radioelectronic means
Type of article: scientific article
DOI: https://doi.org/10.18127/j20700814-202206-05
UDC: 621.396
Authors:

K.P. Masjukov1, D.U. Konovalov2

1,2 Военно-космическая академия имени А.Ф. Можайского (Санкт-Петербург, Россия)

Abstract:

The task of automation of process of maintenance of functional readiness of any sample of radio-electronic means (REM) includes formation of algorithm of functioning of regulated by a cycle, but with changing depending on a functional condition parameters of system of processing of the technical information and functionality. In this case, the cycle of technical processing is understood as a set of preventive works of separate elements and the whole sample, limited by a rigid period.

Consequently, the objective of regulated impact is to ensure high availability of the REM sample for use while minimizing the time of preventive operations (or not exceeding tзад) by changing during the cycle the intervals between the samples going to a set of operations and the depth of their implementation. The basis for such decisions is information about reliability figures and technical parameters both known in advance and changing during the process of target application.

Objective: development of new mathematical models of technical information processing and functionality systems (SOTIF), more adequate to features of REM, both samples of radio-electronic equipment and conditions of their target application.

Pages: 42-49
For citation

Masjukov K.P., Konovalov D.U. Algorithm and mathematical model for local optimization of technical information processing system parameters and functionality of radioelectronic means. Information-measuring and Control Systems. 2022. V. 20. № 6. P. 42−49. DOI: https://doi.org/10.18127/j20700814-202206-05 (in Russian)

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Date of receipt: 21.10.2022
Approved after review: 11.11.2022
Accepted for publication: 30.11.2022