Article 13421

Title of the article

VISUAL MEASURING AUTOMATION CONTROL 

Authors

Amandos D. Tulegulov, Candidate of physical and mathematical sciences, associate professor, head of the sub-department of aviation engineering and technology, Academy of Civil Aviation (44 Akhmetova street, Almaty, Kazakhstan), E-mail: tad62@yandex.kz
Dastan S. Ergaliev, Ph.D., associate professor, professor of the sub-department of aviation engineering and technology, Academy of Civil Aviation (44 Akhmetova street, Almaty, Kazakhstan), E-mail: DES-67@yandex.kz
Dmitry V. Zuev, Master of technical sciences, teacher of the sub-department of aviation engineering and technology, Academy of Civil Aviation (44 Akhmetova street, Almaty, Kazakhstan), E-mail: d.zuev@agakaz.kz
Bakhytgul A. Shabden, Master of technical sciences, teacher of the sub-department of aviation engineering and technology, Academy of Civil Aviation (44 Akhmetova street, Almaty, Kazakhstan), E-mail: b.shabden@agakaz.kz
Roman Abikaev, Student, Academy of Civil Aviation (44 Akhmetova street, Almaty, Kazakhstan), E-mail: tad62@yandex.kz 

Index UDK

681.51 

DOI

10.21685/2307-4205-2021-4-13 

Abstract

Background. Practice shows that accidents and disasters occurring during the destruction of structural elements of objects, machines and products are almost always associated with the presence of defects in them. This article proposes the automation of the process of the visual measuring method (VIM) of non-destructive testing. The purpose of this work is to develop a software package that allows you to automate the work of a specialist conducting visual measurement control (VIC). Materials and methods. The option of creating a database of 3D models of the tested samples is being considered for further obtaining the trajectory of the electron microscope for creating images. Results. A database of reference images of material surfaces without defects, images of material surfaces with examples of various types of defects has been created. Conclusions. The formed base will make it possible to analyze by comparing the results obtained by artificial intelligence methods with images obtained during flaw detection with an electron microscope. This, in turn, will make it possible to predict possible equipment failures, as well as to work out the process of forming the final image, indicating the locations of possible defects. 

Key words

non-destructive testing, visual and measuring control, artificial intelligence, computer vision 

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Дата создания: 16.02.2022 13:10
Дата обновления: 16.02.2022 14:03