Diagnostics and estimation of the residual resource of the electromechanical equipment working, under trying conditions on electric, parameters
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
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
Funding:
None
References
- 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.
- Birger I.A. Technical diagnostics. Мoscow: Mechanical engineering, 1978.
- 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.
- Tadgibaev A.I. Recognition automation system of electroinstallations conditions.Saint Petersburg: Energoatomisdat, 2001. Vol.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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