Abstract
In this paper, we develop and study a software package for passive radio-sensor technical diagnostics. The possibility of automated estimates of the state of electronic devices based on the extracted parameters of the registered signal radio profile is shown. The main parameters of the signal radio profile and the parameters of radio engineering units of an electronic device are compared. An experiment to register and analyze the electrical component of the electromagnetic radiation of the electronic device was prepared and performed. The deviations in the parameters of the signal radio profile when using the analysis in the developed software package for the same device was established to not exceed 5%. It is shown that at the necessary amount of information about the electronic device, the software package without operator intervention can localize the malfunction that occurred and indicate the inconsistency of assembling specific parameters. The effect of the algorithm parameters on the interpretability and accuracy of the results is studied.
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REFERENCES
V. T. Eremenko, Reengineering of Radio Electronic Means (Gosuniversitet—UNPK, Orel, 2012) [in Russian].
K. A. Boikov, M. S. Kostin, and G. V. Kulikov, Ros. Tekhnol. Zh. 9 (4), 20 (2021). https://doi.org/10.32362/2500-316X-2021-9-4-20-27
K. A. Boikov and M. S. Kostin, in New Technologies of the Higher School. Science, Equipment, Pedagogics. (Proc. All-Russian Sci.-Pract. Conf. “Science–Society– Technologies–2021”, Russia, Moscow, Mar. 26, 2021) (Mosk. Politekh, Moscow, 2021), p. 119.
Y. Hu, W. Li, Y. F. Wang, et al., J. Instrumentation 14 (9), T09002 (2019).
K. A. Boikov, Izv. Vyssh. Uchebn. Zaved.,Radioelektron. 24 (6), 63 (2021). https://doi.org/10.32603/1993-8985-2021-24-6-63-70
A. Myuller and S. Gvido, Introduction to Machine Learning by Means of Python. The Management for Data Specialists (Vil’yams, Moscow, 2017) [in Russian].
T. Hastie, R.Tibshirani, J. Friedman, Elements of Statistical Learning.Data Mining, Inference, and Prediction, 2nd ed. (Springer, 2009; Dialektika, St. Petersburg, 2020).
N. B. Paklin and V. I. Oreshkov, Business Analytics: from Data to Knowledge (+CD): Studies benefit, 2 Ed. (Piter, St. Petersburg, 2013) [in Russian].
M. Zhang and Z. Zhou, IEEE Trans. KDE 26 (8), 1819 (2014).
A. A. Sirota, Methods and Analysis Algorithms of Data and Their Modeling in MATLAB: Manual (BKhV-Peterburg, St. Petersburg, 2016)[in Russian].
G. O. Ochkurenko, Teoriya&Praktika Sovrem. Nauki, No. 4, 178 (2019).
M. S. Kostin and D. S. Vorunichev, Reengineering of Radio Electronic Means (MIREA, Moscow, 2018) [in Russian].
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Translated by A. Ivanov
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Boikov, K.A., Shamin, A.E. Software Analysis of the Signal Radio Profile during Passive Radio-Sensor Technical Diagnostics. J. Commun. Technol. Electron. 67, 1337–1344 (2022). https://doi.org/10.1134/S1064226922110018
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DOI: https://doi.org/10.1134/S1064226922110018