Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
권호 표지
DOI QR코드

DOI QR Code

Inter-turn short-circuit fault detection with high-frequency signal injection for inverter-fed PMSM systems

  • Zheng Xu (School of Electrical Engineering, Southeast University) ;
  • Jianzhong Zhang (School of Electrical Engineering, Southeast University) ;
  • Zakiud Din (School of Electrical Engineering, Southeast University) ;
  • Yongbin Wu (School of Electrical Engineering, Southeast University) ;
  • Ming Cheng (School of Electrical Engineering, Southeast University)
  • Received : 2022.07.23
  • Accepted : 2022.12.23
  • Published : 2023.06.20
⟨ Previous Next ⟩

Abstract

This paper develops an online inter-turn short-circuit fault (ISF) detection method for inverter-fed permanent magnet synchronous machine (PMSM) systems. A high-frequency (HF) mathematical model of a PMSM with an ISF is established. Based on the presented HF model, the HF responses of the PMSM with various severity of ISF under HF voltage injection are analyzed in detail, where both the short-circuit ratio and the fault resistance are considered to evaluate the fault severity. In the proposed fault diagnosis method, the amplitude of the HF negative-sequence component is used to determine the fault severity, and the initial phase is used to locate the position of the faulty phase. The simulation and experimental results verify the effectiveness of the proposed method.

Keywords

Acknowledgement

This work was supported by the Natural Science Foundation of China (51991384). No potential competing interest was reported by the authors.

References

  1. Park, J., Hur, J.: Detection of inter-turn and dynamic eccentricity faults using stator current frequency pattern in IPM-type BLDC motors. IEEE Trans. Ind. Electron. 63(3), 1771-1780 (2016) https://doi.org/10.1109/TIE.2015.2499162
  2. Qi, Y., Bostanci, E., Zafarani, M., Akin, B.: Severity estimation of interturn short circuit fault for PMSM. IEEE Trans. Ind. Electron. 66(9), 7260-7269 (2019) https://doi.org/10.1109/TIE.2018.2879281
  3. Qi, Y., Bostanci, E., Gurusamy, V., Akin, B.: A comprehensive analysis of short-circuit current behavior in PMSM interturn short-circuit faults. IEEE Trans. Power Electron. 33(12), 10784-10793 (2018) https://doi.org/10.1109/TPEL.2018.2809668
  4. Zafarani, M., Bostanci, E., Qi, Y., Goktas, T., Akin, B.: Interturn short-circuit faults in permanent magnet synchronous machines: an extended review and comprehensive analysis. IEEE J. Emerg. Sel. Top. Power Electron. 6(4), 2173-2191 (2018) https://doi.org/10.1109/JESTPE.2018.2811538
  5. Afrandideh, S., Milasi, M.E., Haghjoo, F., Cruz, S.M.A.: Turn to turn fault detection, discrimination, and faulty region identification in the stator and rotor windings of synchronous machines based on the rotational magnetic field distortion. IEEE Trans. Energy Convers. 35(1), 292-301 (2020) https://doi.org/10.1109/TEC.2019.2951528
  6. Li, C., Sanchez, R.-V., Zurita, G., Cerrada, M., Cabrera, D.: Fault diagnosis for rotating machinery using vibration measurement deep statistical feature learning. Sensors 16(6), 895 (2016)
  7. Hang, J., Zhang, J., Cheng, M., Huang, J.: Online interturn fault diagnosis of permanent magnet synchronous machine using zero-sequence components. IEEE Trans. Power Electron. 30(12), 6731-6741 (2015) https://doi.org/10.1109/TPEL.2015.2388493
  8. Hang, J., Ding, S., Zhang, J., Cheng, M., Chen, W., Wang, Q.: Detection of interturn short-circuit fault for PMSM with simple fault indicator. IEEE Trans. Energy Convers. 31(4), 1697-1699 (2016) https://doi.org/10.1109/TEC.2016.2583780
  9. Wang, B., Wang, J., Grifo, A., Sen, B.: Stator turn fault detection by second harmonic in instantaneous power for a triple-redundant fault-tolerant PM drive. IEEE Trans. Ind. Electron. 65(9), 7279-7289 (2018) https://doi.org/10.1109/TIE.2018.2793188
  10. Kim, K.: Simple online fault detecting scheme for short-circuited turn in a PMSM through current harmonic monitoring. IEEE Trans. Ind. Electron. 58(6), 2565-2568 (2011) https://doi.org/10.1109/TIE.2010.2060463
  11. Kim, K.-H., Gu, B.-G., Jung, I.-S.: Online fault-detecting scheme of an inverter-fed permanent magnet synchronous motor under stator winding shorted turn and inverter switch open. IET Electr. Power Appl. 5(6), 529-539 (2011) https://doi.org/10.1049/iet-epa.2010.0272
  12. Ebrahimi, B.M., Faiz, J.: Feature extraction for short-circuit fault detection in permanent-magnet synchronous motors using stator-current monitoring. IEEE Trans. Power Electron. 25(10), 2673-2682 (2010) https://doi.org/10.1109/TPEL.2010.2050496
  13. Bouzid, M.B.K., Champenois, G.: New expressions of symmetrical components of the induction motor under stator faults [J]. IEEE Trans. Ind. Electron. 60(9), 4093-4102 (2013) https://doi.org/10.1109/TIE.2012.2235392
  14. Bellini, A., Filippetti, F., Tassoni, C., Capolino, G.: Advances in diagnostic techniques for induction machines. IEEE Trans. Ind. Electron. 55(12), 4109-4126 (2008) https://doi.org/10.1109/TIE.2008.2007527
  15. Arellano-Padilla, J., Sumner, M., Gerada, C.: Winding condition monitoring scheme for a permanent magnet machine using high-frequency injection. IET Electr. Power Appl. 5(1), 89-99 (2011) https://doi.org/10.1049/iet-epa.2009.0264
  16. Yang, S.C.: Online turn fault detection of interior permanent-magnet machines using the pulsating-type voltage injection. IEEE Trans. Ind. Appl. 52(3), 2340-2349 (2016) https://doi.org/10.1109/TIA.2016.2529559
  17. Zhang, J., Xu, Z., Wang, J., Zhao, J., Din, Z.U., Cheng, M.: Detection and discrimination of incipient stator faults for inverter-fed permanent magnet synchronous machines. IEEE Trans. Ind. Electron. 68(8), 7505-7515 (2021) https://doi.org/10.1109/TIE.2020.3009563
  18. Briz, F., Degner, M.W., Zamarron, A., Guerrero, J.M.: Online stator winding fault diagnosis in inverter-fed AC machines using high-frequency signal injection. IEEE Trans. Ind. Appl. 39(4), 1109-1117 (2003) https://doi.org/10.1109/TIA.2003.813746
  19. Sen, B., Wang, J.: Stator interturn fault detection in permanent-magnet machines using PWM ripple current measurement. IEEE Trans. Industr. Electron. 63(5), 3148-3157 (2016) https://doi.org/10.1109/TIE.2016.2515560
  20. Hu, R., Wang, J., Sen, B., Mills, A.R., Chong, E., Sun, Z.: PWM ripple currents based turn fault detection for multiphase permanent magnet machines. IEEE Trans. Ind. Appl. 53(3), 2740-2751 (2017) https://doi.org/10.1109/TIA.2016.2642193
  21. Wang, B., Hu, J., Wang, G., Hua, W.: A novel stator turn fault detection technique by using equivalent high frequency impedance. IEEE Access 8, 130540-130550 (2020) https://doi.org/10.1109/ACCESS.2020.3009109