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Predicting changes in the state of an industrial facility using machine learning methods. / Balagurin, P. S.; Grigorieva, A. V.; Kulagin, M.

Proceedings of the III International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP: Engineering-III 2021. ред. / Igor V. Kovalev; Alena A. Stupina; Anna A. Voroshilova. American Institute of Physics, 2021. 040031 (AIP Conference Proceedings; Том 2402).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Balagurin, PS, Grigorieva, AV & Kulagin, M 2021, Predicting changes in the state of an industrial facility using machine learning methods. в IV Kovalev, AA Stupina & AA Voroshilova (ред.), Proceedings of the III International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP: Engineering-III 2021., 040031, AIP Conference Proceedings, Том. 2402, American Institute of Physics, MIP: Engineering-III 2021, Krasnoyarsk, Российская Федерация, 29/04/21. https://doi.org/10.1063/5.0071408

APA

Balagurin, P. S., Grigorieva, A. V., & Kulagin, M. (2021). Predicting changes in the state of an industrial facility using machine learning methods. в I. V. Kovalev, A. A. Stupina, & A. A. Voroshilova (Ред.), Proceedings of the III International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP: Engineering-III 2021 [040031] (AIP Conference Proceedings; Том 2402). American Institute of Physics. https://doi.org/10.1063/5.0071408

Vancouver

Balagurin PS, Grigorieva AV, Kulagin M. Predicting changes in the state of an industrial facility using machine learning methods. в Kovalev IV, Stupina AA, Voroshilova AA, Редакторы, Proceedings of the III International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP: Engineering-III 2021. American Institute of Physics. 2021. 040031. (AIP Conference Proceedings). https://doi.org/10.1063/5.0071408

Author

Balagurin, P. S. ; Grigorieva, A. V. ; Kulagin, M. / Predicting changes in the state of an industrial facility using machine learning methods. Proceedings of the III International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP: Engineering-III 2021. Редактор / Igor V. Kovalev ; Alena A. Stupina ; Anna A. Voroshilova. American Institute of Physics, 2021. (AIP Conference Proceedings).

BibTeX

@inproceedings{6008ac2208c24269b177b1488733a55e,
title = "Predicting changes in the state of an industrial facility using machine learning methods",
abstract = "The purpose of this work is to predict the destruction of reinforced concrete beams that are subjected to three- point physical loads. A decrease in the number of acoustic emission signals with increasing load was taken as a criterion for the onset of destruction. Polynomial regression is considered as a forecasting method. Using the Sklearn Python library, the coefficients of the polynomial are fitted. The degree of the polynomial is found empirically. The developed method has shown good results in two practical experiments.",
author = "Balagurin, {P. S.} and Grigorieva, {A. V.} and M. Kulagin",
note = "Publisher Copyright: {\textcopyright} 2021 Author(s).; 3rd International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP: Engineering-III 2021 ; Conference date: 29-04-2021 Through 30-04-2021",
year = "2021",
month = nov,
day = "15",
doi = "10.1063/5.0071408",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics",
editor = "Kovalev, {Igor V.} and Stupina, {Alena A.} and Voroshilova, {Anna A.}",
booktitle = "Proceedings of the III International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP",
address = "United States",
url = "https://conf.domnit.ru/ru/conferences/mip-engineering-3-2021/, https://conf.domnit.ru/en/materials/mip-engineering-2021/",

}

RIS

TY - GEN

T1 - Predicting changes in the state of an industrial facility using machine learning methods

AU - Balagurin, P. S.

AU - Grigorieva, A. V.

AU - Kulagin, M.

N1 - Conference code: 3

PY - 2021/11/15

Y1 - 2021/11/15

N2 - The purpose of this work is to predict the destruction of reinforced concrete beams that are subjected to three- point physical loads. A decrease in the number of acoustic emission signals with increasing load was taken as a criterion for the onset of destruction. Polynomial regression is considered as a forecasting method. Using the Sklearn Python library, the coefficients of the polynomial are fitted. The degree of the polynomial is found empirically. The developed method has shown good results in two practical experiments.

AB - The purpose of this work is to predict the destruction of reinforced concrete beams that are subjected to three- point physical loads. A decrease in the number of acoustic emission signals with increasing load was taken as a criterion for the onset of destruction. Polynomial regression is considered as a forecasting method. Using the Sklearn Python library, the coefficients of the polynomial are fitted. The degree of the polynomial is found empirically. The developed method has shown good results in two practical experiments.

UR - http://www.scopus.com/inward/record.url?scp=85120454363&partnerID=8YFLogxK

U2 - 10.1063/5.0071408

DO - 10.1063/5.0071408

M3 - Conference contribution

AN - SCOPUS:85120454363

T3 - AIP Conference Proceedings

BT - Proceedings of the III International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP

A2 - Kovalev, Igor V.

A2 - Stupina, Alena A.

A2 - Voroshilova, Anna A.

PB - American Institute of Physics

T2 - 3rd International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP: Engineering-III 2021

Y2 - 29 April 2021 through 30 April 2021

ER -

ID: 94488036