Automated System of Knowledge Base Acquisition for Lumber Drying Processes; International Russian Automation Conference, RusAutoCon 2023

Бібліографічні деталі
Parent link:International Russian Automation Conference, RusAutoCon 2023.— 2023.— P. 505-509
Автор: Grechushnikov V. V. Vladislav Viktorovich
Співавтор: National Research Tomsk Polytechnic University (570)
Інші автори: Kachin O. S. Oleg Sergeevich, Prokhorov S. Sergey
Резюме:Title screen
The paper deals with the problem of low-quality lumber drying at the initial operating stage of the drying chamber. Based on collected data of the drying process, the measured and calculated features of transient processes were identified. Their relation to the parameters and quality of drying is shown. A method collecting the features under consideration is proposed. The numerical evaluation of the features is associated with the result of drying. The implementation of the method for collecting the technological quality parameters relies on a web server for the formation of the drying process datasheet. The idea of implementing a neural network to confirm the assumption about the relation between the said features is considered. The neural network structure, which will probably allow to determine the degree of influence and relationship the features and the results of drying, is proposed.
Текстовый файл
AM_Agreement
Мова:Англійська
Опубліковано: 2023
Предмети:
Онлайн доступ:https://doi.org/10.1109/RusAutoCon58002.2023.10272810
Формат: Електронний ресурс Частина з книги
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=676097

MARC

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330 |a The paper deals with the problem of low-quality lumber drying at the initial operating stage of the drying chamber. Based on collected data of the drying process, the measured and calculated features of transient processes were identified. Their relation to the parameters and quality of drying is shown. A method collecting the features under consideration is proposed. The numerical evaluation of the features is associated with the result of drying. The implementation of the method for collecting the technological quality parameters relies on a web server for the formation of the drying process datasheet. The idea of implementing a neural network to confirm the assumption about the relation between the said features is considered. The neural network structure, which will probably allow to determine the degree of influence and relationship the features and the results of drying, is proposed. 
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463 1 |t International Russian Automation Conference, RusAutoCon 2023  |o Proceedings, Sochi, October 10-16, 2023  |v P. 505-509  |d 2023  |c Piscataway  |n IEEE 
610 1 |a oscillating lumber drying 
610 1 |a knowledge base 
610 1 |a technological map 
610 1 |a response 
610 1 |a neural network 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
700 1 |a Grechushnikov  |b V. V.  |c specialist in the field of electric power engineering  |c Senior Lecturer of Tomsk Polytechnic University  |f 1991-  |g Vladislav Viktorovich  |y Tomsk  |7 ba  |8 eng  |9 88728 
701 1 |a Kachin  |b O. S.  |c specialist in the field of electrical engineering  |c Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences  |f 1982-  |g Oleg Sergeevich  |9 21965 
701 1 |a Prokhorov  |b S.  |g Sergey 
712 0 2 |a National Research Tomsk Polytechnic University  |4 570  |9 27197 
801 0 |a RU  |b 63413507  |c 20241031  |g RCR 
856 4 |u https://doi.org/10.1109/RusAutoCon58002.2023.10272810  |z https://doi.org/10.1109/RusAutoCon58002.2023.10272810 
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