Acta Mechanica Slovaca 2015, 19(2):52-56 | DOI: 10.21496/ams.2015.015

Development of the Algorithm for Definition of Residual Service Life by a Comprehensive Diagnosis of the Electromechanical Drive

Pavel Stepanov1*, Stanislav Lagutkin2, Yury Nikitin3
1 Novouralsk Technological Institute (Branch of National Research Nuclear University "MEPhI"), Department of Control Automation, Novouralsk, Russia
2 Novouralsk Technological Institute (Branch of National Research Nuclear University "MEPhI"), Department of Mechanical Engineering, Novouralsk, Russi
3 Kalashnikov Izhevsk State Technical University, "Mechatronic Systems" Department, Izhevsk, Russia

The algorithm for determining the residual service life of the stand, which consists of an asynchronous motor, clutch and worm gear, is developed. As a comprehensive approach the analysis of mechanical and electrical drive diagnostic parameters is considered. The change in vibration speed and spectral coefficients of the wavelet analysis of the stator electric current is investigated under load in the presence and absence of defects. The equation is received to determine the residual service life.

Keywords: Diagnostics, electromechanical drive, worm gear, vibration, electric current, wavelet analysis

Published: October 31, 2015  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Stepanov, P., Lagutkin, S., & Nikitin, Y. (2015). Development of the Algorithm for Definition of Residual Service Life by a Comprehensive Diagnosis of the Electromechanical Drive. Acta Mechanica Slovaca, 19(2), 52-56. doi: 10.21496/ams.2015.015
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. Abramov, I., Nikitin, Y., Zorina, O., Božek, P., Stepanov, P., Stollmann, V. (2014). Monitoring of technical condition of motors and bearings of woodworking equipment. Acta Facultatis Xylologiae, vol. 56(2), pp. 97-104.
    2. Abramov, I., Nikitin, Yu., Abramov, A., Sosnovich, E., Božek, P., Stollmann, V. (2014). Diagnosis of rolling mill line gearmotors. Proc. of International Conference on Innovative Technologies, IN-TECH 2014. Leiria, Portugal, pp. 155-158, Sep. 10-13.
    3. Abramov, I. V., Nikitin, Yu. R., Abramov, A. I., Sosnovich, E. V., Božek, P. (2014). Control and diagnostic model of brushless DC motor. Journal of Electrical Engineering, vol. 65, no. 5, pp. 277- 282. Go to original source...
    4. Hammer, M., Šimková, M., Ministr, M. (2010). Artificial Intelligence in Diagnostics of Electric Machines. In Recent Advances in Mechatronics, Springer, Berlin Heidelberg, pp. 139-144. Go to original source...
    5. Stepanov P., Nikitin Yu. (2014). Diagnostics of Mechatronic Systems on the Basis of Neural Networks with High-Performance Data Collection. Mechatronics 2013: Recent Technological and Scientific Advances, pp. 433-440. Brno, Czech Republic, Springer Intrenational Publishing Swizerland.
    6. Stepanov P., Lagutkin S. (2014). Research of Electric and Mechanical Diagnostic Parameters of Drive Equipment. Applied Mechanics and Materials, vol. 683, pp. 177-281. Trans Tech Publications, Switzerland. Go to original source...
    7. Stepanov P., Lagutkin S., Božek P., Nikitin Yu. (2014). Comprehensive approach to technical conditions of electromechanical units in mechatronic systems. American Journal of Mechanical Engineering, vol. 2, No. 7, pp. 278-281. Go to original source...
    8. Cowan, R.S., Winer, W.O. (2013). Handbook of Technical Diagnostics: Fundamentals and Application to Structures and Systems. Machinery Diagnostics, pp. 387-410. Springer Berlin Heidelberg. Go to original source...
    9. Dovban', S.N., Veselov, O.V. (2012). Technical diagnostics of electromechanical systems based on the analysis of distorted output signal. Automation and Remote Control, vol. 73, Issue 11, pp. 1902-1909. November 2012. Go to original source...
    10. Hetmanczyk, M.P., Swider, J.A. (2014). Selected vibrational symptoms in transient states of AC drives. International Journal of Dynamics and Control, Feb. 2014. [Online] Available: http://link.springer.com/article/10.1007/s40435-014-0062-0/fulltext.html [Accessed Dec. 2, 2014].
    11. Virgala, I., Frankovský, P., Kenderová, M. (2013). Friction Effect Analysis of a DC Motor. In: American Journal of Mechanical Engineering. Vol. 1, no. 1 (2013), p. 1-5. ISSN 2328-4102. Go to original source...
    12. Lee, Y.S., Kim, Y.W. (2007). Condition monitoring of induction motors for vertical pumps with the current and vibration signature analysis. Experimental analysis of nano and engineering materials and structures, pp. 419-420. Springer, Dordrecht. Go to original source...
    13. Virgala, I., Frankovský, P., Kenderova, M. (2013). Friction Effect Analysis of a DC Motor. In: American Journal of Mechanical Engineering, 1(1), 1-5. Go to original source...
    14. Živčak, J., Kelemenová, T., Kelemen, M., Maxim, V.: Model-based approach to development of engineering. In: Acta Mechanica Slovaca. Roč. 17, č. 3 (2013), s. 56-62. - ISSN 1335-2393 Go to original source...
    15. Kuryło P.: The study of residual stresses in the surface layer. In: Acta Mechanica Slovaca. 2013, Vol. 17, no. 4, s. 6-15 Go to original source...

    This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content