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Vol 192
Pages:
161-166
Download volume:
RUS
Article

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

Authors:
A. E. Kozyaruk1
Y. L. Shzukovsky2
S. V. Baburin3
A. A. Korshzev4
A. V. Krivenko5
About authors
  • 1 — Ph.D., Dr.Sci. professor Saint Petersburg State Mining University
  • 2 — Ph.D. associate professor Saint Petersburg State Mining University
  • 3 — Ph.D. associate professor Saint Petersburg State Mining University
  • 4 — Ph.D. associate professor Saint Petersburg State Mining University
  • 5 — Ph.D. associate professor 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.

Область исследования:
(Archived) Automation of technological processes аnd manufactures in mining and processing industries
Keywords:
diagnostics resource estimation the electromechanical equipment
Go to volume 192

References

  1. Avramchuk V.S., Batseva N.L. The functional control and diagnostics of electrotechnical and electromechanical systems and devices over digital readout of a current and voltage instant values. Tomsk, 2003.
  2. Birger I.A. Technical diagnostics. Мoscow: Mechanical engineering, 1978.
  3. Zhukovskij J.L., Korzhev A.A., Krivenko A.V., Baburin S.V. Modern not destroying control and diagnostics methods of a mountain machines electric drives technical condition // The mountain equipment and electromechanics. 2009. N9.
  4. Tadgibaev A.I. Recognition automation system of electroinstallations conditions.Saint Petersburg: Energoatomisdat, 2001. Vol.5.
  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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