Vol. 95

Latest Volume
All Volumes
All Issues
2022-04-05

Detection of Inter-Turn Short-Circuit on a Doubly Fed Induction Machine with D-Q Axis Representation - Application to Different Power Levels

By Habachi Bilal, Eric Jean Roy Sambatra, Nicolas Heraud, Jean-Marie Razafimahenina, and Svetlana Dyagileva
Progress In Electromagnetics Research B, Vol. 95, 23-40, 2022
doi:10.2528/PIERB22011207

Abstract

This paper presents a method based on the elliptical representation of D-Q currents to detect and quantify an Inter-Turn Short-Circuit (ITSC) fault in windings of a Doubly Fed Induction Machine (DFIM). ITSC is said to be an evolving fault, so it is essential to detect it at an early stage to avoid damage on the machine. Therefore, the method should be able, on the first hand, to detect the defect and, on the second hand, to quantify its severity. Moreover, this study requires less computation time than classical methods such as harmonic analysis. In this paper, current data are acquired at a sampling frequency of 1 kHz. This method is successful with this low data sampling rate. In order to validate this study, a theoretical analysis with two models of different DFIM powers (0.3 kW, 0.25 kW and 11 kW) is carried out (healthy case and faulty case: presence of ITSC), and these results are confirmed by using platforms including Doubly Fed Induction Machines (DFIMs) and Data Acquisition (DAQ) system.

Citation


Habachi Bilal, Eric Jean Roy Sambatra, Nicolas Heraud, Jean-Marie Razafimahenina, and Svetlana Dyagileva, "Detection of Inter-Turn Short-Circuit on a Doubly Fed Induction Machine with D-Q Axis Representation - Application to Different Power Levels," Progress In Electromagnetics Research B, Vol. 95, 23-40, 2022.
doi:10.2528/PIERB22011207
http://test.jpier.org/PIERB/pier.php?paper=22011207

References


    1. Joksimovic, G. M. and J. Penman, "The detection of inter-turn short circuits in the stator windings of operating motors," IEEE Transactions on Industrial Electronics, Vol. 47, No. 5, 1078-1084, 2000.
    doi:10.1109/41.873216

    2. Thorsen, O. and M. Dalva, "Condition monitoring methods, failure identification and analysis for high voltage motors in petrochemical industry," Proceedings of Eighth International Conference on Electrical Machines and Drives, No. 444, 109-113, Cambridge, UK, September 1997.
    doi:10.1049/cp:19971048

    3. El Bouchikhi, E. H., V. Choqueuse, and M. Benbouzid, "Induction machine faults detection using stator current parametric spectral estimation," Mechanical Systems and Signal Processing, Vol. 52-53, 447-464, 2015.
    doi:10.1016/j.ymssp.2014.06.015

    4. Bonnett, A. H. and C. Yung, "Increased efficiency versus increased reliability," IEEE Industry Applications Magazine, Vol. 14, No. 1, 29-36, 2008.
    doi:10.1109/MIA.2007.909802

    5. Xu, Z., et al., "Data-driven inter-turn short circuit fault detection in induction machines," IEEE Access, Vol. 5, 25055-25068, 2017.
    doi:10.1109/ACCESS.2017.2764474

    6. Bonnett, A. H. and G. C. Soukup, "Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors," IEEE Transactions on Industry Applications, Vol. 28, No. 4, 921-937, 1992.
    doi:10.1109/28.148460

    7. Lu, Q., T. Breikin, and H. Wang, "Modelling and fault diagnosis of stator inter-turn short circuit in doubly fed induction generators," IFAC Proceedings, Vol. 44, No. 1, 1013-1018, 2011.

    8. Abdelmadjid, G., B. S. Mohamed, T. Mohamed, S. Ahmed, and M. Youcef, "An improved stator winding fault tolerance architecture for vector control of induction motor: Theory and experiment," Electric Power Systems Research, Vol. 104, 129-137, 2013.
    doi:10.1016/j.epsr.2013.06.023

    9. Kato, T., K. Inoue, and K. Yoshida, "Diagnosis of stator-winding-turn faults of induction motor by direct detection of negative sequence currents," Electrical Engineering in Japan, Vol. 186, No. 3, 75-84, 2014.
    doi:10.1002/eej.22350

    10. Im, S. H. and B. G. Gu, "Study of induction motor inter-turn fault part II: Online model-based fault diagnosis method," Energies, Vol. 15, No. 3, 977, 2022.
    doi:10.3390/en15030977

    11. Roshanfekr, R. and A. Jalilian, "Analysis of rotor and stator winding inter-turn faults in wrim using simulated mec model and experimental results," Electric Power Systems Research, Vol. 119, 418-424, 2015.
    doi:10.1016/j.epsr.2014.10.018

    12. Razafimahefa, T. D., H. Bilal, N. Heraud, and E. J. R. Sambatra, "Experimental and analytical approaches for investigating low-level inter-turn winding faults in induction machine," Proceedings of 4th Conference on Control and Fault Tolerant Systems (SysTol), 135-140, Casablanca, Moroco, September 2019.

    13. Bilal, H., N. Heraud, and E. J. R. Sambatra, "Detection of inter-turn short-circuit on a doubly fed induction machine with d-q axis representation," Proceedings IEEE 61th International Scienti c Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 1-4, Riga, Latvia, November 2020.

    14. Wang, L., Y. Li, and J. Li, "Diagnosis of inter-turn short circuit of synchronous generator rotor winding based on volterra kernel identification," Energies, Vol. 11, No. 10, 2018.

    15. Pires, V. F., T. G. Amaral, and J. F. Martins, "Stator winding fault diagnosis in induction motors using the dq current trajectory mass center," Proceedings of 35th Annual Conference of IEEE Industrial Electronics, 1322-1326, Porto, Portugal, November 2009.

    16. Foito, D., J. Maia, V. Fernao Pires, and J. F. Martins, "Fault diagnosis in six-phase induction motor using a current trajectory mass center," Measurement, Vol. 51, 164-173, 2014.
    doi:10.1016/j.measurement.2014.02.004

    17. El Hachemi Benbouzid, M., "A review of induction motors signature analysis as a medium for faults detection," IEEE Transactions on Industrial Electronics, Vol. 47, No. 5, 984-993, 2000.
    doi:10.1109/41.873206

    18. Marques Cardoso, A. J., S. M. A. Cruz, and D. S. B. Fonseca, "Inter-turn stator winding fault diagnosis in threephase induction motors, by park's vector approach," IEEE Transactions on Energy Conversion, Vol. 14, No. 3, 595-598, 1999.
    doi:10.1109/60.790920

    19. Douglas, H., P. Pillay, and P. Barendse, "The detection of interturn stator faults in doubly-fed induction generators," Proceedings of Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, Vol. 2, 1097-1102, Hong Kong, China, October 2005.

    20. Cruz, S. M. A. and A. J. M. Cardoso, "Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the extended park's vector approach," IEEE Transactions on Industry Applications, Vol. 37, No. 5, 1227-1233, 2001.
    doi:10.1109/28.952496

    21. Acosta, G. G., C. J. Verucchi, and E. R. Gelso, "Acurrent monitoring system for diagnosing electrical failures in induction motors," Mechanical Systems and Signal Processing, Vol. 20, No. 4, 953-965, 2006.
    doi:10.1016/j.ymssp.2004.10.001

    22. Bilal, H., N. Heraud, and E. J. R. Sambatra, "An experimental approach for detection and quantification of short-circuit on a doubly fed induction machine (DFIM) windings," J. Control Autom Electr. Syst., Vol. 32, 1123-1130, 2021.
    doi:10.1007/s40313-021-00733-w