Automatic System for Detecting Visible Emissions in a Potroom of Aluminum Plant Based on Technical Vision and a Neural Network-Reference-Cited by-同舟云学术

Automatic System for Detecting Visible Emissions in a Potroom of Aluminum Plant Based on Technical Vision and a Neural Network

Published:2023-01 Issue:9-10 Volume:66 Page:1308-1319
ISSN:0026-0894
Container-title:Metallurgist
language:en
Short-container-title:Metallurgist

Author:

Shestakov A. K.,Petrov P. A.,Nikolaev M. Yu.

Publisher

Springer Science and Business Media LLC

Subject

Materials Chemistry,Metals and Alloys,Mechanics of Materials,Condensed Matter Physics

Link

https://link.springer.com/content/pdf/10.1007/s11015-023-01445-z.pdf

Reference35 articles.

1. V. Mann, V. Buzunov, V. Pingin, et al., “Environmental aspects of UC RUSAL’s aluminum smelters sustainable development,” in: Light Metals, Springer, Cham (2019).

2. RUSAL Sustainability Report 2020 (2020); https://rusal.ru/sustainability/report/.

3. Yu. A. Sychev, M. E. Aladin, and V. A. Serikov, “Developing a hybrid filter structure and a control algorithm for hybrid power supply,” Int. J. Power Elec. Dr., 13, No. 3, 1625–1634 (2022).

4. Byuro NDT, Best Available Techniques (BAT) Reference Document for the Non-Ferrous Metals Industries. Aluminum Production in Russian Federation [in Russian]; http://burondt.ru/NDT/NDTDocsDetail.php?UrlId=616&etkstructure_id=1872&UrlLang=ru (2019).

5. Program for Improving the Environmental Efficiency of the Branch Office RUSAL Bratsk PJSC in Shelekhov (2019).

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