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Vol 192
Pages:
161
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Diagnostics and estimation of the residual resource of the electromechanical equipment working, under trying conditions on electric, parameters

Authors:
A. E. Kozyaruk1
Yu. L. Zhukovskii2
S. V. Baburin3
A. A. Korzhev4
A. V. Krivenko5
About authors
  • 1 — Saint Petersburg State Mining University
  • 2 — Saint Petersburg State Mining University
  • 3 — Saint Petersburg State Mining University
  • 4 — Saint Petersburg State Mining University
  • 5 — Saint Petersburg State Mining University
Date submitted:
2010-10-27
Date accepted:
2010-12-12
Date published:
2011-04-01

Abstract

The method of diagnostics and estimation of a residual resource of the electromechanical equipment, based on the analysis of electric parameters is offered. Block diagram’s of a diagnostic complex and the data processing program are presented. The way of application of artificial neural networks for data processing of diagnostics and an estimation of a residual resource is considered, and also levels of influence of damages on working capacity of the equipment are resulted.

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References

  1. Аврамчук В.С. Функциональный контроль и диагностика электротехнических и электромеханических систем и устройств по цифровым отсчетам мгновенных значений тока и напряжения / В.С.Аврамчук, Н.Л.Бацева / Томский политехнический университет. Томск, 2003.
  2. Биргер И.А. Техническая диагностика. М.: Машиностроение, 1978.
  3. Современные методы неразрушающего контроля и диагностики технического состояния электроприводов горных машин / Ю.Л.Жуковский, А.А.Коржев, А.В.Кривенко, С.В.Бабурин // Горное оборудование и электромеханика. 2009. № 9.
  4. Таджибаев А.И. Автоматизированные системы распознавания состояний электроустановок. СПб: Энергоатомиздат, 2001.
  5. Pöyhönen S., Jover P., Hyötyniemi H. Independent component analysis of vibrations for fault diagnosis of an induction motor: International Conference on Circuits, Signals, and Systems (CSS 2003). Cancun, Mexico, 19-21 may 2003. Vol.1.

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