Отрывок: Figure 8. Selection of areas of interest in the form of defects “Inclusion”. The defect in the form of “lack of fusion” is characterized by a darkening area of sufficiently large size and length, in some cases along the entire length of the weld. An example of the selection of the region of interest with a defect in the form of “lack of fusion” is presented in Figure 9. Науки о данных R.R. Akhmedyanov, K.F. Tagirova et al. V Международная ...
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dc.contributor.authorAkhmedyanov, R.R.-
dc.contributor.authorTagirova, K.F.-
dc.contributor.authorVulfin, A.M.-
dc.contributor.authorBerkholts, V.V.-
dc.contributor.authorGayanov, R.Ch.-
dc.date.accessioned2019-04-22 11:11:02-
dc.date.available2019-04-22 11:11:02-
dc.date.issued2019-05-
dc.identifierDspace\SGAU\20190421\75668ru
dc.identifier.citationAkhmedyanov R.R. Intelligent system for diagnosing the welded joints quality on the basis of the radiographic method / Akhmedyanov R.R., Tagirova K.F., Vulfin A.M., Berkholts V.V., Gayanov R.Ch. // Сборник трудов ИТНТ-2019 [Текст]: V междунар. конф. и молодеж. шк. "Информ. технологии и нанотехнологии": 21-24 мая: в 4 т. / Самар. нац.-исслед. ун-т им. С. П. Королева (Самар. ун-т), Ин-т систем. обраб. изобр. РАН-фил. ФНИЦ "Кристаллография и фотоника" РАН; [под ред. В.А. Фурсова]. - Самара: Новая техника, 2019. – Т. 4: Науки о данных. - 2019. - С. 372-380.ru
dc.identifier.urihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Intelligent-system-for-diagnosing-the-welded-joints-quality-on-the-basis-of-the-radiographic-method-75668-
dc.description.abstractThe paper discusses the issue of creating an intelligent diagnostic system for welded joints based on the radiographic method. This will speed up the process of decoding radiographic images and reduce the number of errors associated with human factors, since at this time most of the work on decoding images is done manually. The goal of the work is to develop an intelligent system for finding defects in a welded joint in a radiographic image using neural networks. The obtained results are the algorithm of operation of the intelligent diagnostic system for welded joints based on the radiographic method, a trained neural network for detecting defects of welded joints.ru
dc.description.sponsorshipThis work was supported by the Russian Foundation for Basic Research, research No 17-08-01569.ru
dc.language.isoen_USru
dc.publisherНовая техникаru
dc.titleIntelligent system for diagnosing the welded joints quality on the basis of the radiographic methodru
dc.typeArticleru
dc.textpartFigure 8. Selection of areas of interest in the form of defects “Inclusion”. The defect in the form of “lack of fusion” is characterized by a darkening area of sufficiently large size and length, in some cases along the entire length of the weld. An example of the selection of the region of interest with a defect in the form of “lack of fusion” is presented in Figure 9. Науки о данных R.R. Akhmedyanov, K.F. Tagirova et al. V Международная ...-
Располагается в коллекциях: Информационные технологии и нанотехнологии

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