Research of methods for pumping technological equipment condition predictive monitoring

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Conference on Applied Physics, Information Technologies and Engineering 2019, APITECH 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1399/5/055082

Аннотация: The article discusses the need to develop a diagnostic prognostic unit for certain types of technological equipment. Several well-known methods for predicting time series are considered: a method based on artificial neural couples, a method for analyzing a singular spectrum, an exponential smoothing method. A brief description of tПоказать полностьюhe methods under consideration is given. The parameters of the numerical study of the methods are described. The results of a numerical study are presented, the advantage of the neural network approach and the method of singular spectral analysis are shown. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1399, Is. 5

Номера страниц: 55082

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Авторы

  • Bukhtoyarov V.V. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Tynchenko V.S. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Bashmur K.A. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Petrovskiy E.A. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Kukartsev V.V. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Bukhtoyarova N.A. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)

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