Decomposition of electromotive force signal of stator winding in induction motor at diagnostics of the rotor broken bars

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Authors:

M.Zagirnyak, Corresponding Member of the National Academy of Pedagogic Sciences of Ukraine, Dr. Sc. (Tech.), Prof., Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

A.Kalinov, Cand. Sc. (Tech.), Assoc. Prof., Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Zh.Romashykhina, Cand. Sc. (Tech.), Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.">This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract:

Purpose. To develop a method of decomposition of a signal of electromotive force induced in stator windings in an induction motor with rotor broken bars after disconnection of the motor from the network.

Methodology. Methods of comparative analysis, mathematical modeling and forecasting were used.

Findings. A mathematical model was developed using finite element method for computation of electromagnetic field in cross-section of induction motor with rotor broken bars. It was proposed to use wavelet-transform of winding electromotive force (EMF) signal in order to determine the number and mutual displacement of rotor broken bars. A method for decomposition of electromotive force signal of induction motor stator winding to electromotive force signals of active sides of winding coils was developed using the theory of reverse z-transform. This allows one to increase accuracy of induction motors rotor broken bar diagnostics via singling out information features from electromotive force signal of one active side of winding coil We have proposed a method for calculation of electromagnetic field in the cross section of an induction motor with the use of a mathematical model based on the finite element method enabling assessment of broken rotor bars influence on generation of electromotive force in stator windings after disconnection of the motor from the network. The performed analysis of structural features of induction motors allowed us to find out that generation of electromotive force signal in stator winding elements can be influenced by such design factors as the number of pairs of poles, the circuit of connection of coil groups in the winding phase, the type of stator winding. We have proposed to use the theory of reverse z-transform to realize the method of decomposition of the signal of stator winding phase electromotive force.

Originality. For the first time we have developed a method of decomposition of a signal of stator winding phase electromotive force with use of the theory of reverse z-transform. This method makes it possible to improve the reliability of diagnostics of induction motor rotor broken bars by means of singling out information features in the signal of electromotive force of one side of the coil.

Practical value. We have developed a software module for automated calculation of electromagnetic field in the cross section of an induction motor.

References/Список літератури

1. Douglas, H., Pillay, P. and Ziarani, A.K., 2005. Broken rotor bar detection in induction machines with transient operating speeds. IEEE Transactions on Energy Conversion, Vol. 20, No. 1, pp. 135–141.

2. Drobnič, K., Nemec, M., Fišer, R. and Ambrožič, V., 2012. Simplified detection of broken rotor bars in induction motors controlled in field reference frame. Control Engineering Practice, Vol. 20, pp. 761–769.

3. Faiz, J. and Ebrahimi, B.M., 2008. A new pattern for detecting broken rotor bars in induction motors during. IEEE Transactions on Magnetics, Vol. 44, No. 12, pp. 4673–4683.

4. Neelam, M. and Ratna, D., 2009. Rotor faults detection in induction motor by wavelet analysis. International Journal of Engineering Science and Technology, Vol. 1(3), pp. 90–99.

5. Yazidi A., Henao, H. and Capolino, G-A., 2005. Broken rotor bars fault detection in squirrel cage induction machines. IEEE, pp. 741–747.

6. Zagirnyak, M.V., Mamchur, D.G. and Kalinov, A.P., 2010. Elimination of the influence of supply mains low-quality parameters on the results of induction motor diagnostics. In: Proceedings of XIX International Conference on Electrical Machines, ICEM 2010, Rome, Italy.

7. Imeryuz, M.A., Mergen, A.F. and Ustun, O., 2010. Method to Analyze Asynchronous Machines With Broken Rotor Bars. In: International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 2010. SPEEDAM, pp. 269–272.

8. Zagirnyak, M., Romashihina, Zh. and Kalinov, A., 2013. Diagnostic of broken rotor bars in induction motor on the basis of its magnetic field analysis. Acta Technica Jaurinensis, Vol. 6, No. 1, pp. 115–125.

9. Gerling, D., 2015. Electrical Machines: Mathematical Fundamentals of Machine Topologies. Springer Heidelberg New York Dordrecht London.

10. Phillips, Ch. L,. Parr, J.M. and Riskin, E. Ann., 2008. Signals, systems, and transforms. Prentice Hall.

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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

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