Применение искусственной нейронной сети в задаче ультразвуковой диагностики дефектов печатных плат 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

The use of an artificial neural network in the problem of ultrasonic diagnostics of defects in printed circuit boards of electronic devices

idUvaysov S.U., Chernoverskaya V.V.,  Nguyen H.D.,  Lu N.T. 

UDC 621.396.69
DOI: 10.26102/2310-6018/2023.41.2.020

  • Abstract
  • List of references
  • About authors

Modern electronic devices are complex technical systems, the functioning of which is accompanied by various physical processes occurring in their nodes and blocks. The combination of circuitry, structural and technological complexity of radio-electronic devices is the cause of various defects in them including hidden ones with a long latency period. This, in turn, imposes higher requirements for the diagnosis and control of the technical condition of electronic devices. The relevance of the research presented in this article is due to the need to increase the reliability and accuracy of defect identification in nodes and blocks of electronic devices, the development of new methods and means of technical diagnostics combining traditional approaches with actively developing technologies of artificial neural networks, big data processing, computational experiment. The article presents a study on ultrasound diagnostics of internal defects in the delamination of printed circuit boards. The method of modeling various defects using specialized software ABAQUS is described. The features of the subsequent processing of experimental data – amplitude-time, amplitude-frequency characteristics, the formation of numerical arrays of the parameters under study – are defined. The structure of an artificial neural network for diagnosing and identifying defects of printed circuit boards is given and the technology of its training and testing is defined. The materials of the article are of practical value for design engineers, circuit and system engineers of electronic systems as well as developers of complex technical complexes.

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Uvaysov Saygid Uvaysovich
Doctor of Technical Sciences, Professor

WoS | Scopus | ORCID |

MIREA – Russian Technological University

Moscow, The Russian Federation

Chernoverskaya Victoria Vladimirovna
Candidate of Technical Sciences, Associate Professor

MIREA – Russian Technological University

Moscow, The Russian Federation

Nguyen Hong Duc

MIREA – Russian Technological University

Moscow, The Russian Federation

Lu Ngoc Tien

MIREA – Russian Technological University

Moscow, The Russian Federation

Keywords: printed circuit board, non-destructive testing, ultrasound diagnostics, delamination, hidden defects, ultrasonic wave, piezoelectric transducer, artificial neural network, training, identification

For citation: Uvaysov S.U., Chernoverskaya V.V., Nguyen H.D., Lu N.T. The use of an artificial neural network in the problem of ultrasonic diagnostics of defects in printed circuit boards of electronic devices. Modeling, Optimization and Information Technology. 2023;11(2). URL: https://moitvivt.ru/ru/journal/pdf?id=1338 DOI: 10.26102/2310-6018/2023.41.2.020 (In Russ).

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Full text in PDF

Received 30.03.2023

Revised 02.05.2023

Accepted 06.06.2023

Published 30.06.2023