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Wind turbine induction generator bearing fault detection using stator current analysis

Wind turbine induction generator bearing fault detection using stator current analysis. By. D.S. Vilchis-Rodriguez, S. Djurovic, A.C. Smith. School of Electrical and Electronic Engineering The University of Manchester. Content. Wind generator failure figures Ball bearing frequencies

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Wind turbine induction generator bearing fault detection using stator current analysis

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  1. Wind turbine induction generator bearing fault detection using stator current analysis By D.S. Vilchis-Rodriguez, S. Djurovic, A.C. Smith School of Electrical and Electronic Engineering The University of Manchester

  2. Content • Wind generator failure figures • Ball bearing frequencies • Mathematical model • Simulation results • Experimental results • Fault detection improvement • Conclusions

  3. Wind turbine reliability Feng Y. and Tavner P., “Introduction to Wind Turbines and their Reliability & Availability”, Warsaw, EWEC 2010, 2010.

  4. Wind generator failure occurrence 1-2 MW >2 MW Alewine K. and Chen W., “Wind Turbine Generator Failure Modes Analysis and Occurrence”, Windpower 2010, Dallas, Texas, May 24-26, 2010.

  5. Rolling bearing race frequencies Outer race Inner race

  6. Bearing fault mechanical effects Shaft displacement Rolling element drop

  7. Air-gap modulation Air-gap variations Periodic eccentricity

  8. IG modelling for condition monitoring purposes • Based on coupled-circuit approach • Localized bearing faults are modelled as temporary eccentricity variations • Axial asymmetry is taken into account in the model by averaging both machine ends eccentricity • This approach makes it possible to analyze with detail incipient bearing faults

  9. Bearing fault simulation results Stator current frequency spectrum Principal bearing fault frequency detail

  10. Test rig layout Laboratory test bed (viewed from above) Load side bearing

  11. Test rig description Artificial bearing fault Test rig bearing data

  12. Bearing faultMeasured Frequency spectrum Stator line current spectrum Vibration spectrum

  13. Instantaneous complex current signal

  14. Stator current and current envelope frequency spectrums Stator current spectrum Complex signal magnitude spectrum

  15. Complex signal magnitude frequency spectrumper phase Stator currents Complex signal magnitude spectrum

  16. Instantaneous negative sequence magnitude

  17. Instantaneous symmetrical components Real valued instantaneous symmetrical components Complex valued instantaneous symmetrical components

  18. Complex signals frequency spectrum a) Current envelope spectrum average b) Complex valued Instantaneous negative sequence spectrum c) Real valued Instantaneous negative sequence spectrum

  19. Fault severity analysis Artificial bearing fault Fault frequency amplitude variation

  20. Conclusions • An IG analytical model was developed and a commercial machine test rig was used to verify the findings • Research shows that there are frequency components in IG steady state stator current that are directly related to existence of bearing fault. • Simulation and experimental data indicate that conventional CSA is not well suited for bearing fault detection. • The use of complex signals is shown to considerably improve the fault detection using stator current analysis.

  21. Thank You

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