The Use of Collections of Artificial Neural Networks to Improve the Control Quality of the Induction Soldering Process.

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第一作者： Anton Vladimirovich,Milov

第一单位： Information-Control Systems Department, Institute of Computer Science and Telecommunications, Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia.

作者： Anton Vladimirovich,Milov ^[1] ; Vadim Sergeevich,Tynchenko ^[2] ; Sergei Olegovich,Kurashkin ^[2] ; Valeriya Valerievna,Tynchenko ^[2] ; Vladislav Viktorovich,Kukartsev ^[2] ; Vladimir Viktorovich,Bukhtoyarov ^[2] ; Roman,Sergienko ^[3] ; Viktor Alekseevich,Kukartsev ^[4] ; Kirill Aleksandrovich,Bashmur ^[4]

作者单位： Information-Control Systems Department, Institute of Computer Science and Telecommunications, Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia. ^[1] Information-Control Systems Department, Institute of Computer Science and Telecommunications, Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia.;Department of Technological Machines and Equipment of Oil and Gas Complex, School of Petroleum and Natural Gas Engineering, Siberian Federal University, 660041 Krasnoyarsk, Russia. ^[2] Machine Learning Department, Gini Gmbh, 80339 Munich, Germany. ^[3] Department of Technological Machines and Equipment of Oil and Gas Complex, School of Petroleum and Natural Gas Engineering, Siberian Federal University, 660041 Krasnoyarsk, Russia. ^[4]

关键词 artificial neural networks induction brazing industrial sensors intelligent technologies measurements reliability non-contact temperature measurement pyrometers waveguide paths

主题词采暖(Heating);结果可重复性(Reproducibility of Results);宇宙飞船(Spacecraft);温度(Temperature)

DOI 10.3390/s21124199

PMID 34207395

发布时间 2021-07-06

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