Spectral method for monitoring the technical condition of hydraulic drives of forest harvester machines

Описание

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

Конференция: International Scientific Conference on Metrological Support of Innovative Technologies, ICMSIT 2020

Год издания: 2020

Идентификатор DOI: 10.1088/1742-6596/1515/4/042086

Аннотация: Currently, in the forest industry, methods of test control of the technical condition of the elements of the hydraulic drive of forest harvester machines have been used, based on the creation of special impulse actions on the hydraulic drive in order to obtain transient characteristics, the analysis of which allows to determine theПоказать полностьюir technical condition. However, these methods can only be used for maintenance or repair of machines. Analysis of the work performed to date shows that the task of developing and developing methods for monitoring the state of hydraulic drives of technological machines is an urgent task. This article presents the justification of the spectral method for monitoring the technical condition of hydraulic drives of forest harvester machines during the full life cycle, based on the control of its load when operating with woods. © 2020 Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1515, Is. 4

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing42086

Персоны

  • Pavlov A.I. (Volga State University of Technology, Lenin Square 3, Yoshkar-Ola, 424000, Russian Federation)
  • Tarbeev A.A. (Volga State University of Technology, Lenin Square 3, Yoshkar-Ola, 424000, Russian Federation)
  • Egorov A.V. (Volga State University of Technology, Lenin Square 3, Yoshkar-Ola, 424000, Russian Federation)
  • Polyanin I.A. (Volga State University of Technology, Lenin Square 3, Yoshkar-Ola, 424000, Russian Federation)
  • Ya Alibekov S. (Volga State University of Technology, Lenin Square 3, Yoshkar-Ola, 424000, Russian Federation)
  • Lysyannikov A.V. (Siberian Federal University, 82/6, Svobodny Avenu, Krasnoyarsk, 660041, Russian Federation)
  • Kaizer Y.F. (Siberian Federal University, 82/6, Svobodny Avenu, Krasnoyarsk, 660041, Russian Federation)
  • Sharshembiev J.S. (Kyrgyz National Agrarian University Named after K i Scriabin, st. Mederova 68, Bishkek, 720005, Kyrgyzstan)

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