Email this article Automated system for detecting anomalies of periodic electrical signals
- Authors: Krasnenko S.S.1, Khaidukova V.N.2, Nedorezov D.A.2
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Affiliations:
- JSC Academician M. F. Reshetnev Information Satellite Systems
- Siberian Federal University
- Issue: Vol 22, No 3 (2021)
- Pages: 425-431
- Section: Section 1. Computer Science, Computer Engineering and Management
- URL: https://journals.eco-vector.com/2712-8970/article/view/562837
- DOI: https://doi.org/10.31772/2712-8970-2021-22-3-425-431
- ID: 562837
Cite item
Abstract
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 anomalies of periodic electrical signals has been developed, which makes it possible to automate the testing process and increase the efficiency of detecting malfunctions of electronic equipment for various purposes. Improvement of the aforementioned characteristics was achieved due to a new test method underlying the implementation of the proposed system and protected by a patent of the Russian Federation for an invention, 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 the development of hardware and software, as well as test algorithms are presented.
A program for an electronic computer that implements control of the proposed hardware-software system is described.
About the authors
Sergey S. Krasnenko
JSC Academician M. F. Reshetnev Information Satellite Systems
Email: t_150@list.ru
the design engineer 2 categories
Russian Federation, 52, Lenin St., Zheleznogorsk, Krasnoyarsk region, 662972Valeria N. Khaidukova
Siberian Federal University
Email: Valeriya_iks@mail.ru
Master student
Russian Federation, 79, Svobodny Pr., Krasnoyarsk, 660041Dmitrii A. Nedorezov
Siberian Federal University
Author for correspondence.
Email: Nedorezovd@mail.ru
Master student
Russian Federation, 79, Svobodny Pr., Krasnoyarsk, 660041References
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