Have a personal or library account? Click to login
Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier Transform Cover

Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier Transform

Open Access
|Jun 2022

References

  1. Ahn, G., Lee, J., Park, C.H., Youn, M. and Youn, B.D. (2019). Inter-turn short circuit fault detection in permanent magnet synchronous motors based on reference voltage. In: Proceedings of 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Toulouse, France, pp. 245–2450.10.1109/DEMPED.2019.8864924
  2. Boileau, T., Leboeuf, N., Nahid-Mobarakeh, B. and Meibody-Tabar, F. (2013). Synchronous Demodulation of Control Voltages for Stator Interturn Fault Detection in PMSM. IEEE Transactions on Power Electronics, 28(12), pp. 5647–5654.10.1109/TPEL.2013.2254132
  3. Chen, Y., Liang, S., Li, W., Liang, H. and Wang, C. (2019). Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review. Applied Sciences, 9(10), p. 2116.10.3390/app9102116
  4. Dogan, Z. and Tetik, K. (2021). Diagnosis of Inter-Turn Faults Based on Fault Harmonic Component Tracking in LSPMSMs Working Under Nonstationary Conditions. IEEE Access, 9, pp. 92101–92112.10.1109/ACCESS.2021.3092605
  5. Drif, M. and Cardoso, A. J. M. (2014). Stator Fault Diagnostics in Squirrel Cage Three-Phase Induction Motor Drives Using the Instantaneous Active and Reactive Power Signature Analyses. IEEE Transactions on Industrial Informatics, 10(2), pp. 1348–1360.10.1109/TII.2014.2307013
  6. Ewert, P. (2020). The Application of the Bispectrum Analysis to Detect the Rotor Unbalance of the Induction Motor Supplied by the Mains and Frequency Converter. Energies, 13(11), p. 3009.10.3390/en13113009
  7. Fang, J., Sun, Y., Wang, Y., Wei, B. and Hang, J. (2019). Improved ZSVC-Based Fault Detection Technique for Incipient Stage Inter-Turn Fault in PMSM. IET Electric Power Applications, 13(12), pp. 2015–2026.10.1049/iet-epa.2019.0016
  8. Fonseca, D. S. B., Santos, C. M. C. and Cardoso, A. J. M. (2020). Stator Faults Modeling and Diagnostics of Line-Start Permanent Magnet Synchronous Motors. IEEE Transactions on Industrial Applications, 56(3), pp. 2590–2599.10.1109/TIA.2020.2979674
  9. Gurusamy, V., Bostanci, E., Li, C., Qi, Y. and Akin, B. (2021). A Stray Magnetic Flux-Based Robust Diagnosis Method for Detection and Location of Interturn Short Circuit Fault in PMSM. IEEE Transactions on Instrumentation and Measurement, 70, pp. 1–11.10.1109/TIM.2020.3013128
  10. Haje Obeid, N., Battiston, A., Boileau, T. and Nahid-Mobarakeh, B. (2017). Early Intermittent Interturn Fault Detection and Localization for a Permanent Magnet Synchronous Motor of Electrical Vehicles Using Wavelet Transform. IEEE Transactions on Transportation Electrification, 3(3), pp. 694–702.10.1109/TTE.2017.2743419
  11. Hang, J., Ding, S., Zhang, J., Cheng, M., Chen, W. and Wang, Q. (2016). Detection of Interturn Short-Circuit Fault for PMSM with Simple Fault Indicator. IEEE Transactions on Energy Conversion, 31(4), pp. 1697–1699.10.1109/TEC.2016.2583780
  12. Hang, J., Sun, W., Hu, Q., Ren, X. and Ding, S. (2022). Integration of Interturn Fault Diagnosis and Fault-Tolerant Control for PMSM Drive System. IEEE Transactions on Transportation Electrification, 8(2), pp. 2825–2835.10.1109/TTE.2021.3134821
  13. Henao, H., Capolino, G.A., Fernandez-Cabanas, M., Filippetti, F., Bruzzese, C., Strangas, E., Pusca, R., Estima, J., Riera-Guasp, M., Hedayati-Kia, S. (2014). Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques. IEEE Industrial Electronics Magazine, 8(2), pp. 31–42.10.1109/MIE.2013.2287651
  14. Huang, W., Du, J., Hua, W. and Fan, Q. (2021). An Open-Circuit Fault Diagnosis Method for PMSM Drives Using Symmetrical and DC Components. Chinese Journal of Electrical Engineering, 7(3), pp. 124–135.10.23919/CJEE.2021.000031
  15. Jeong, H., Moon, S., Lee, H. and Kim, S.W. (2017). Interturn short circuit fault detection of permanent magnet synchronous motors based on positive- and negative-sequence signatures. In: Proceedings of 2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Tinos, Greece, pp. 167–172.10.1109/DEMPED.2017.8062351
  16. Maqsood, A., Oslebo, D., Corzine, K., Parsa, L. and Ma, Y. (2020). STFT Cluster Analysis for DC Pulsed Load Monitoring and Fault Detection on Naval Shipboard Power Systems. IEEE Transactions on Transportation Electrification, 6(2), pp. 821–831.10.1109/TTE.2020.2981880
  17. Park, C. H., Lee, J., Ahn, G., Youn, M. and Youn, B. D. (2019). Fault Detection of PMSM Under Non-Stationary Conditions Based on Wavelet Transformation Combined with Distance Approach. In: Proceedings of 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Toulouse, France, pp. 88–93.10.1109/DEMPED.2019.8864842
  18. Pietrzak, P. and Wolkiewicz, W. (2021a). Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems. Power Electronics and Drives, 6(41), pp. 42–60.10.2478/pead-2021-0004
  19. Pietrzak, P. and Wolkiewicz, M. (2021b). On-line Detection and Classification of PMSM Stator Winding Faults Based on Stator Current Symmetrical Components Analysis and the KNN Algorithm. Electronics, 10(15), p. 1630.10.3390/electronics10151786
  20. Pietrzak, P. and Wolkiewicz, M. (2021c). Comparison of Selected Methods for the Stator Winding Condition Monitoring of a PMSM Using the Stator Phase Currents. Energies, 14(6), p. 1630.10.3390/en14061630
  21. Pietrzak, P. and Wolkiewicz, M. (2022). Stator winding fault detection of permanent magnet synchronous motor based on the bispectrum analysis. Bulletin of the Polish Academy of Sciences, Technical Sciences, 70, pp. 1–10.
  22. Riera-Guasp, M., Antonino-Daviu, J. A. and Capolino, G. (2015). Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art. IEEE Transactions on Industrial Electronics, 62(3), pp. 1746–1759.10.1109/TIE.2014.2375853
  23. Rosero, J., Cusido, J., Garcia, A., Romeral, L. and Ortega, J. A. (2007). Detection of Stator Short Circuits in PMSM by mean of joint Time-Frequency Analysis. In: Proceedings of the 2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, Cracow, Poland, pp. 420–425.10.1109/DEMPED.2007.4393131
  24. Rosero, J. A., Romeral, L., Ortega, J. A. and Rosero, E. (2009). Short-Circuit Detection by Means of Empirical Mode Decomposition and Wigner–Ville Distribution for PMSM Running Under Dynamic Condition. IEEE Transactions on Industrial Electronics, 56(11), pp. 4534–4547.10.1109/TIE.2008.2011580
  25. Satpathi, K., Yeap, Y. M., Ukil, A. and Geddada, N. (2018). Short-Time Fourier Transform Based Transient Analysis of VSC Interfaced Point-to-Point DC System. IEEE Transactions on Industrial Electronics, 65(5), pp. 4080–4091.10.1109/TIE.2017.2758745
  26. Skowron, M., Orłowska-Kowalska, T. and Kowalski, C. T. (2021). Application of Simplified Convolutional Neural Networks for Initial Stator Winding Fault Detection of the PMSM Drive Using Different Raw Signal Data. IET Electric Power Applications, 15, pp. 932–946.10.1049/elp2.12066
  27. Skowron, M., Orlowska-Kowalska, T. and Kowalski, C. T. (2022). Detection of permanent magnet damage of PMSM drive based on direct analysis of the stator phase currents using convolutional neural network. IEEE Transactions on Industrial Electronics, Early Access, doi: 10.1109/TIE.2022.3146557.
  28. Tarchała, G., Wolkiewicz, M. and Krzysztofiak, M. (2020). Diagnosis of Short-Circuits in Induction Motor Stator Winding Using a Modified Park Transformation. Power Electronics and Drives, 5(41), pp. 123–133.10.2478/pead-2020-0009
  29. Urresty, J., Riba J., Romeral, L., Roser, J. and Serna, J. (2009). Stator short circuits detection in PMSM by means of Hilbert-Huang transform and energy calculation. In: Proceedings of International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Cargese, France, pp. 1–7.10.1109/DEMPED.2009.5292789
  30. Wolkiewicz, M., Tarchała, G., Orłowska-Kowalska, T. and Kowalski, C. T. (2016). Online Stator Interturn Short Circuits Monitoring in the DFOC Induction-Motor Drive. IEEE Transactions on Industrial Electronics, 63(4), pp. 2517–2528.10.1109/TIE.2016.2520902
  31. Xu, B., Sun, L., Xu, L. and Xu, G. (2013). Improvement of the Hilbert Method via ESPRIT for Detecting Rotor Fault in Induction Motors at Low Slip. IEEE Transactions on Energy Conversion, 28(1), pp. 225–233.10.1109/TEC.2012.2236557
  32. Zamudio-Ramírez, I., Ramirez-Nunez, J. A., Antonino-Daviu, J., Osornio-Rios, R. A., Quijano-Lopez, A., Razik, H., Romero-Troncoso, R. J. (2020). Automatic Diagnosis of Electromechanical Faults in Induction Motors Based on the Transient Analysis of the Stray Flux via MUSIC Methods. IEEE Transactions on Industry Applications, 56(4), pp. 3604–3613.10.1109/TIA.2020.2988002
  33. Zanardelli, W. G., Strangas, E. G. and Aviyente, S. (2007). Identification of Intermittent Electrical and Mechanical Faults in Permanent-Magnet AC Drives Based on Time–Frequency Analysis. IEEE Transactions on Industry Applications, 43(4), pp. 971–980.10.1109/TIA.2007.900446
  34. Zhang, J., Xu, Z., Wang, J., Zhao, J., Din., Z. and Cheng, M. (2021). Detection and Discrimination of Incipient Stator Faults for Inverter-Fed Permanent Magnet Synchronous Machines. IEEE Transactions on Industrial Electronics, 68(8), pp. 7505–7515.10.1109/TIE.2020.3009563
  35. Zhao, J., Guan, X., Li, C., Mou, Q. and Chen, Z. (2021). Comprehensive Evaluation of Inter-Turn Short Circuit Faults in PMSM Used for Electric Vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(1), pp. 611–621.10.1109/TITS.2020.2987637
  36. Zhou, X., Sun, J., Cui, P., Lu, Y., Lu, M. and Yu, Y. (2021). A Fast and Robust Open-Switch Fault Diagnosis Method for Variable-Speed PMSM System. IEEE Transactions on Power Electronics, 36(3), pp. 2598–2610.10.1109/TPEL.2020.3013628
DOI: https://doi.org/10.2478/pead-2022-0009 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
Language: English
Page range: 112 - 133
Submitted on: May 5, 2022
Accepted on: Jun 2, 2022
Published on: Jun 30, 2022
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Przemysław Pietrzak, Marcin Wolkiewicz, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.