Модифицированный алгоритм имитации отжига для задачи диагностики отказов аналоговых радиоэлектронных устройств
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

A modified algorithm for simulated annealing for the task of diagnosing failures of analog electronic devices

Uvaysov S.U.,  idChernoverskaya V.V., Hai N.D.,  Hai V.T.,  Pham X.T. 

UDC 621.396.69
DOI: 10.26102/2310-6018/2026.53.2.013

  • Abstract
  • List of references
  • About authors

The article presents the results of a study that developed a new method for automated diagnostics of functional components of electronic devices in order to identify parametric component failures, electrical failures, and short circuit detection. The relevance of the study is due to the ever-increasing complexity of modern electronics, when traditional diagnostic methods do not provide the necessary accuracy and efficiency of diagnostic procedures, which leads to an increase in equipment failures during operation and an increase in the cost of its maintenance and repair. The proposed method is based on a well-known algorithm for simulated annealing, which has been adapted to solve the problems of troubleshooting electronic devices. Objective: to propose a new method for diagnosing failures of electronic equipment based on a modified algorithm for simulated annealing, aimed at increasing the reliability of identification of faults occurring in nodes and modules during the operation of modern electronics, as well as to increase the degree of automation of diagnostic procedures. Physical and model experiments conducted during the study showed that the proposed method based on a modified algorithm effectively detects a number of failures, including complex cases of sequential failures that could not be identified using traditional methods. In addition, the proposed approach requires less time for analysis and makes it possible to increase the reliability of diagnostics of the studied nodes and modules of electronic equipment. The results obtained confirm the promising application of the method in the tasks of technical diagnostics, including its further integration into automated control systems of electronic equipment.

1. Uvaysov S.U., Chernoverskaya V.V., Nguyen Duc Hai, Vo The Hai, Pham Xuan Hanh. Application of the annealing method in the task of diagnosing electrical defects in analog circuits of radioelectronic devices. Modeling, Optimization and Information Technology. 2024;12(4). (In Russ.). https://doi.org/10.26102/2310-6018/2024.47.4.022

2. Nguyen D.H. Diagnosis of faults in analog radio electronic devices by simulated annealing method. Mekhatronika, avtomatika i robototekhnika. 2024;(13):172–174. (In Russ.). https://doi.org/10.26160/2541-8637-2024-13-172-174

3. Kirkpatrick S., Gelatt C.D., Vecchi  M.P. Optimization by Simulated Annealing. Science. 1983;220(4598):671–680. https://doi.org/10.1126/science.220.4598.671

4. Lopatin A.S. Annealing method. Stokhasticheskaya optimizatsiya v informatike. 2005;1:133–149. (In Russ.).

5. Zhang D., Liu Y., M'Hallah R., Leung S.C.H. A simulated annealing with a new neighborhood structure based algorithm for high school timetabling problems. European Journal of Operational Research. 2010;203(3):550–558. https://doi.org/10.1016/j.ejor.2009.09.014

6. Bandler J.W., Salama A.E. Fault diagnosis of analog circuits. Proceedings of the IEEE. 1985;73(8):1279–1325. https://doi.org/10.1109/PROC.1985.13281

7. Polyak B.T. Introduction to optimization. Moscow: Nauka. Glavnaya redaktsiya fiziko-matematicheskoi literatury; 1983. 384 p. (In Russ.).

8. Koptyaev D.S. The use of an algorithm for simulated annealing in search problems. In: Konkurentosposobnost' territorii: Materialy XXIII Vserossiiskogo ekonomicheskogo foruma molodykh uchenykh i studentov: Part 3, 27–30 April 2020, Yekaterinburg, Russia. Yekaterinburg: Urals State University of Economics; 2020. P. 76–78. (In Russ.).

9. Kolesnikova A.G., Matveev V.V. Use of computer modeling in Matlab/Simulink environment within the framework of engineering education course. News of the Tula State University. Pedagogics. 2024;(4):39–45. (In Russ.).

10. Ilyushin M.V., Kiryushin D.D. Simulation modeling of a digital signal transmission radio channel in Matlab Simulink. In: Sovremennye tekhnologii v nauke i obrazovanii – STNO-2024: Sbornik trudov VII Mezhdunarodnogo nauchno-tekhnicheskogo foruma: Volume 1, 04–06 March 2024, Ryazan, Russia. Ryazan: Ryazan State Radio Engineering University; 2024. P. 60–63. (In Russ.).

Uvaysov Saygid Uvaysovich
Doctor of Engineering Sciences, Professor

Scopus | eLibrary |

MIREA – Russian Technological University

Moscow, Russian Federation

Chernoverskaya Viktoria Vladimirovna
Candidate of Engineering Sciences, Docent

ORCID | eLibrary |

MIREA – Russian Technological University

Moscow, Russian Federation

Hai Nguyen Duc

MIREA – Russian Technological University

Moscow, Russian Federation

Hai Vo The

MIREA – Russian Technological University

Moscow, Russian Federation

Pham Xuan Thanh

MIREA – Russian Technological University

Moscow, Russian Federation

Keywords: electronic device, fault diagnosis, malfunction, annealing simulation algorithm, optimal solution, function extremum, solution generation mechanism, markov chain

For citation: Uvaysov S.U., Chernoverskaya V.V., Hai N.D., Hai V.T., Pham X.T. A modified algorithm for simulated annealing for the task of diagnosing failures of analog electronic devices. Modeling, Optimization and Information Technology. 2026;14(2). URL: https://moitvivt.ru/ru/journal/pdf?id=2188 DOI: 10.26102/2310-6018/2026.53.2.013 (In Russ).

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Full text in PDF

Received 18.01.2026

Revised 17.02.2026

Accepted 27.02.2026