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

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
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Date accepted:
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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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  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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