Abstract

Induction Machines (IMs) are the most used electric machines in various industrial applications. An improved approach is proposed in this study for rotor asymmetry detection in IM using the line neutral voltage; this method is based on the analysis of the potential difference between the null point of the supply voltage system and the neutral of the star connection of IM stator winding; fault detection in this study is based on monitoring of the standard deviation calculations taken on two frequency ranges where are located the most sensitive harmonics to the occurrence of rotor asymmetry. The proposed method can be a helpful tool to the decision making without need any reference, which represent its main advantage compared to other fault indicators. The effectiveness of the developed indicator is demonstrated on IM test bench with rotor asymmetry.

Keywords:

Diagnosis, induction machine, line neutral voltage, rotor asymmetry,

References

1. Capolino, G.A., J.A. Antonino-Daviu and M. Riera-Guasp, 2015. Modern diagnostics techniques for electrical machines, power electronics, and drives. IEEE T. Ind. Electron., 62(3): 1738-1745.
   CrossRef    
2. Cash, M.A., T.G. Habetler and G.B. Kliman, 1998. Insulation failure prediction in AC machines using line-neutral voltages. IEEE T. Ind. Appl., 34(6): 1234-1239.
   CrossRef    
3. Dahi, K., S., Elhani, S., Guedira and N. Ngote, 2014a. Fault Diagnosis in Induction Motor Using Motor's Residual Stator Current Signature Analysis. In: Dalpiaz, G. et al. (Eds.), Advances in Condition Monitoring of Machinery in Non-Stationary Operations. Springer-Verlag, Berlin, Heidelberg, pp: 631-643.
   
4. Dahi, K., S. Elhani and S. Guedira, 2014b. Wound-rotor IM diagnosis method based on neutral voltage signal analysis. Proceeding of the 40th Annual Conference of the IEEE Industrial Electronics Society (IECON, 2014). Dallas, TX, pp: 965-971.
   CrossRef    
5. Didier, G., E. Ternisien, O. Caspary and H. Razik, 2007. A new approach to detect broken rotor bars in induction machines by current spectrum analysis. Mech. Syst. Signal Pr., 21(2): 1127-1142.
   
6. Jee, H.J., J. Lee and B. Kwon, 2006. Online diagnosis of induction motors using MCSA. IEEE T. Ind. Electron., 53(6): 1842-1852.
   CrossRef    
7. Nandi, S. and H.A. Toliyat 2005. Condition monitoring and fault diagnosis of electrical machines-a review. IEEE T. Energy Conver., 20(4): 719-729.
   CrossRef    
8. Ngote, N., S. Guedira, M. Cherkaoui and M. Ouassaid, 2014. A new hybrid "Park's vector - time synchronous averaging" approach to the induction motor-fault monitoring and diagnosis. J. Electr. Eng. Technol., 9(2): 559-568.
   CrossRef    
9. Oumaamar, M.E.K., F. Babaa, A. Khezzar and M. Boucherma, 2006. Diagnostics of broken rotor bars in induction machines using the neutral voltage. Proceeding of the ICEM'2006 Conference. Chania, Greece, pp: 2-5.
   
10. Oumaamar, M.E.K., A. Khezzar, M. Boucherma, H. Razik, R.N. Andriamalala and L. Baghli, 2007. Neutral voltage analysis for broken rotor bars detection in induction motors using hilbert transform phase. Proceeding of the 42nd IAS Annual Meeting Conference Record of the IEEE Industry Applications Coference. New Orleans, LA, USA, pp: 1940-1947.
    CrossRef    
11. Oumaamar, M.E.K., H. Razik, A. Rezzoug and A. Khezzar, 2011. Line current analysis for bearing fault detection in induction motors using hilbert transform phase. Proceeding of the International Aegean Conference on Electrical Machines and Power Electronics and Electromotion, Joint Conference (ACEMP). Istanbul, pp: 288-293.
    CrossRef    
12. Razik, H. and G. Didier, 2004. A novel method of induction motor diagnosis using the line-neutral voltage. Proceeding of the EPE-PEMC. Riga, Latvia.
    
13. Schoen, R.R., B.K. Lin, T.G. Habetler, J.H. Schlag and S. Farag, 1995. An unsupervised, on-line system for induction motor fault detection using stator current monitoring. IEEE T. Ind. Appl., 31(6): 1280-1286.
    CrossRef    
14. Thomson, W.T., D. Rankin and D.G. Dorrell, 1999. On-line current monitoring to diagnose airgap eccentricity in large three-phase induction motors-industrial case histories verify the predictions. IEEE T. Energy Conver., 14(4): 1372-1378.
    CrossRef    
15. Zhang, P., Y. Du, T.G. Habetler and B. Lu, 2011. A survey of condition monitoring and protection methods for medium-voltage induction motors. IEEE T. Ind. Appl., 47(1): 34-46.
    CrossRef    

Competing interests

The authors have no competing interests.

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