Научная электронная библиотека ULRICH'S Periodicals Directory

Сибирский государственный университет
науки и технологий имени академика М.Ф. Решетнева

Сибирский аэрокосмический журнал
ISSN 2712-8970 (Print) ISSN 2782-5760 (on-line)

Сведения об образовательной организации

UDK 629.78.054:621.396.018 Doi: 10.31772/2712-8970-2021-22-3-425-431
Automated system for detecting anomalies of periodic electrical signals
Krasnenko S. S., Khaidukova V. N., Nedorezov D. A.
JSC Academician M. F. Reshetnev Information Satellite Systems; 52, Lenin St., Zheleznogorsk, Krasnoyarsk region, 662972, Russian Federation; Siberian Federal University; 79, Svobodny Pr., Krasnoyarsk, 660041, Russian Federation
The aim of the work is to develop an automated system for detecting anomalies of periodic electrical signals with improved characteristics of the speed and efficiency of search. To solve this goal, the analysis of the problem of detecting anomalies of periodic electrical signals measured from electronic equipment was carried out and its relevance was substantiated. A hardware and software system for detecting anoma-lies of periodic electrical signals has been developed, which makes it possible to automate the testing proc-ess and increase the efficiency of detecting malfunctions of electronic equipment for various purposes. The improvement of the aforementioned characteristics was achieved due to a new test method underlying the implementation of the proposed system and protected by the patent of the Russian Federation for an inven-tion, as well as due to the high-quality implementation of software and hardware. When solving the set tasks, the methods of algebra-logic, mathematical statistics and object-oriented programming were used. The results of developing hardware, software and test algorithms are presented. A program for an electronic computer that implements control of the proposed hardware-software system is described.
Keywords: anomalies of periodic electrical signals, hardware and software complex, debug, testing, ar-tifacts, electronic equipment, automation.
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Krasnenko Sergey Sergeevich – second rank design engineer, JSC Academician M. F. Reshetnev Information Satellite Systems. Е-mail: t_150@list.ru.

Khaidukova Valeria Nikolaevna – Master student; Siberian Federal University. E-mail: Valeriya_iks@mail.ru.

Nedorezov Dmitrii Aleksandrovich – Master student; Siberian Federal University. E-mail: Nedorezovd@mail.ru.


  Automated system for detecting anomalies of periodic electrical signals