Algorithms for selecting the operating mode of the technological process of waveguide paths induction brazing

The article presents the development of a method for selecting the operating mode of the induction brazing process based on intelligent methods. The use of intelligent methods is due to the presence of uncertain conditions caused by the complexity of the initial setting of the technological paramete...

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Autores principales:	Tynchenko Vadim, Anton Milov, Kukartsev Vladislav, Tynchenko Valeriya, Bukhtoyarov Vladimir, Bashmur Kirill
Formato:	article
Lenguaje:	EN
Publicado:	Institut za istrazivanja i projektovanja u privredi 2021
Materias:	neural networks fuzzy controller neuro-fuzzy controller automated control system induction brazing waveguide paths intellectual system Technology T Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/d9212efa1731434e8e28eddbfc913c07
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spelling	oai:doaj.org-article:d9212efa1731434e8e28eddbfc913c072021-12-05T21:23:07ZAlgorithms for selecting the operating mode of the technological process of waveguide paths induction brazing1451-41171821-319710.5937/jaes0-28489https://doaj.org/article/d9212efa1731434e8e28eddbfc913c072021-01-01T00:00:00Zhttps://scindeks-clanci.ceon.rs/data/pdf/1451-4117/2021/1451-41172102424T.pdfhttps://doaj.org/toc/1451-4117https://doaj.org/toc/1821-3197The article presents the development of a method for selecting the operating mode of the induction brazing process based on intelligent methods. The use of intelligent methods is due to the presence of uncertain conditions caused by the complexity of the initial setting of the technological parameters of the induction brazing process, the error of measuring instruments, and the human factor. The use of smart methods will make it possible to reduce the impact of negative factors, remove uncertainty, and adequately perform the initial set of technological parameters for the induction brazing process. Artificial neural networks, the fuzzy controller and the neural fuzzy controller have been chosen as the smart methods in this work. The article gives a brief overview of the above methods, provides a rationale for the choice of intelligent methods, and also compares their effectiveness. Based on the results of the experimental efficiency check, the most suitable method for determining the choice of induction brazing process operation is proposed.Tynchenko VadimAnton MilovKukartsev VladislavTynchenko ValeriyaBukhtoyarov VladimirBashmur KirillInstitut za istrazivanja i projektovanja u privrediarticleneural networksfuzzy controllerneuro-fuzzy controllerautomated control systeminduction brazingwaveguide pathsintellectual systemTechnologyTEngineering (General). Civil engineering (General)TA1-2040ENIstrazivanja i projektovanja za privredu, Vol 19, Iss 2, Pp 424-431 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	neural networks fuzzy controller neuro-fuzzy controller automated control system induction brazing waveguide paths intellectual system Technology T Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	neural networks fuzzy controller neuro-fuzzy controller automated control system induction brazing waveguide paths intellectual system Technology T Engineering (General). Civil engineering (General) TA1-2040 Tynchenko Vadim Anton Milov Kukartsev Vladislav Tynchenko Valeriya Bukhtoyarov Vladimir Bashmur Kirill Algorithms for selecting the operating mode of the technological process of waveguide paths induction brazing
description	The article presents the development of a method for selecting the operating mode of the induction brazing process based on intelligent methods. The use of intelligent methods is due to the presence of uncertain conditions caused by the complexity of the initial setting of the technological parameters of the induction brazing process, the error of measuring instruments, and the human factor. The use of smart methods will make it possible to reduce the impact of negative factors, remove uncertainty, and adequately perform the initial set of technological parameters for the induction brazing process. Artificial neural networks, the fuzzy controller and the neural fuzzy controller have been chosen as the smart methods in this work. The article gives a brief overview of the above methods, provides a rationale for the choice of intelligent methods, and also compares their effectiveness. Based on the results of the experimental efficiency check, the most suitable method for determining the choice of induction brazing process operation is proposed.
format	article
author	Tynchenko Vadim Anton Milov Kukartsev Vladislav Tynchenko Valeriya Bukhtoyarov Vladimir Bashmur Kirill
author_facet	Tynchenko Vadim Anton Milov Kukartsev Vladislav Tynchenko Valeriya Bukhtoyarov Vladimir Bashmur Kirill
author_sort	Tynchenko Vadim
title	Algorithms for selecting the operating mode of the technological process of waveguide paths induction brazing
title_short	Algorithms for selecting the operating mode of the technological process of waveguide paths induction brazing
title_full	Algorithms for selecting the operating mode of the technological process of waveguide paths induction brazing
title_fullStr	Algorithms for selecting the operating mode of the technological process of waveguide paths induction brazing
title_full_unstemmed	Algorithms for selecting the operating mode of the technological process of waveguide paths induction brazing
title_sort	algorithms for selecting the operating mode of the technological process of waveguide paths induction brazing
publisher	Institut za istrazivanja i projektovanja u privredi
publishDate	2021
url	https://doaj.org/article/d9212efa1731434e8e28eddbfc913c07
work_keys_str_mv	AT tynchenkovadim algorithmsforselectingtheoperatingmodeofthetechnologicalprocessofwaveguidepathsinductionbrazing AT antonmilov algorithmsforselectingtheoperatingmodeofthetechnologicalprocessofwaveguidepathsinductionbrazing AT kukartsevvladislav algorithmsforselectingtheoperatingmodeofthetechnologicalprocessofwaveguidepathsinductionbrazing AT tynchenkovaleriya algorithmsforselectingtheoperatingmodeofthetechnologicalprocessofwaveguidepathsinductionbrazing AT bukhtoyarovvladimir algorithmsforselectingtheoperatingmodeofthetechnologicalprocessofwaveguidepathsinductionbrazing AT bashmurkirill algorithmsforselectingtheoperatingmodeofthetechnologicalprocessofwaveguidepathsinductionbrazing
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Algorithms for selecting the operating mode of the technological process of waveguide paths induction brazing

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