On‐line Detection of Harmonics Components in Magnet Defect Fault of Permanent Magnet Synchronous Motor through a Modified Prony's Method

Ghaseminezhad, Morteza; Jadidoleslam, Morteza

doi:10.22111/ieco.2023.42609.1442

Document Type : Research Articles

Authors

¹ sirjan university of technology

² Department of Electrical Engineering, Sirjan University of Technology, Sirjan, Iran

https://doi.org/10.22111/ieco.2023.42609.1442

Abstract

The use of permanent magnets in the structure of electric machines, in addition to simplifying design and construction by reducing losses, leads to increased efficiency in the motor. However, the magnetic material can be damaged by failure caused by faults such as short circuits in the electronic driver of the motor. Magnets containing samarium and neodymium are completely brittle and easy to crack. These elements are also very vulnerable due to their crystalline structure and grain texture. Magnet defect fault is one of the most common faults in permanent magnet machines. In this paper, a permanent magnet synchronous motor (PMSM) with a magnet defect fault is simulated using the finite element method. Moreover, Prony's method is modified by the matrix pencil method for the estimation of the component created in the stator current. The frequency spectrum of magnetic flux density and stator current in both faulty and healthy modes are extracted and fault detection is done through a modified Prony's method.

Keywords

20.1001.1.26453517.2023.6.1.3.3

Main Subjects

Industrial Electronics

References

[1] A. U. Ganesan and L. N. Chokkalingam, "Review on the evolution of technology advancements and applications of line‐start synchronous machines," IET Electric Power Applications, vol. 13, no. 1, pp. 1-16, 2019.

[2] D. Fonseca, C. M. Santos, and A. J. M. Cardoso, "Stator faults modeling and diagnostics of line-start permanent magnet synchronous motors," IEEE Transactions on Industry Applications, vol. 56, no. 3, pp. 2590-2599, 2020.

[3] M. S. Rafaq et al., "A Simple Method for Identifying Mass Unbalance Using Vibration Measurement in Permanent Magnet Synchronous Motors," IEEE Transactions on Industrial Electronics, vol. 69, no. 6, pp. 6441-6444, 2021.

[4] S. R. Mousavi-Aghdam and A. Kholosi, "Design and Analysis of a New Topology of Rotor Magnets in Brushless DC Motors to Reduce Cogging Torque " International Journal of Industrial Electronics Control and Optimization, vol. 4, no. 1, pp. 77-86, 2021.

[5] M. S. Rafaq et al., "Airgap search coil based identification of pm synchronous motor defects," IEEE Transactions on Industrial Electronics, vol. 69, no. 7, pp. 6551-6560, 2021.

[6] R. Yazdanpanah, "Portable Power Generation System: Axial Flux PM Generator Design " International Journal of Industrial Electronics Control and Optimization, vol. 3, no. 1, pp. 11-18, 2020.

[7] Z. Dogan and K. Tetik, "Diagnosis of inter-turn faults based on fault harmonic component tracking in LSPMSMs working under nonstationary conditions," IEEE Access, vol. 9, pp. 92101-92112, 2021.

[8] K. N. Gyftakis, S. Ab Rasid, G. A. Skarmoutsos, and M. Mueller, "The demagnetization harmonics generation mechanism in permanent magnet machines with concentrated windings," IEEE Transactions on Energy Conversion, vol. 36, no. 4, pp. 2934-2944, 2021.

[9] W. Huang et al., "Current-based open-circuit fault diagnosis for PMSM drives with model predictive control," IEEE Transactions on Power Electronics, vol. 36, no. 9, pp. 10695-10704, 2021.

[10] G. A. Skarmoutsos, K. N. Gyftakis, and M. Mueller, "Analytical Prediction of the MCSA Signatures Under Dynamic Eccentricity in PM Machines With Concentrated Non-Overlapping Windings," IEEE Transactions on Energy Conversion, vol. 37, no. 2, pp. 1011-1019, 2021.

[11] T. Amanuel, A. Ghirmay, H. Ghebremeskel, R. Ghebrehiwet, and W. Bahlibi, "Design of Vibration Frequency Method with Fine-Tuned Factor for Fault Detection of Three Phase Induction Motor," Journal of Innovative Image Processing, vol. 3, no. 01, pp. 52-65, 2021.

[12] P. Gangsar and R. Tiwari, "Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review," Mechanical systems signal processing, vol. 144, pp. 106-908, 2020.

[13] O. E. Hassan, M. Amer, A. K. Abdelsalam, and B. W. Williams, "Induction motor broken rotor bar fault detection techniques based on fault signature analysis–a review," IET Electric Power Applications, vol. 12, no. 7, pp. 895-907, 2018.

[14] M. Mostafaei and J. Faiz, "An overview of various faults detection methods in synchronous generators," IET Electric Power Applications, vol. 15, no. 4, pp. 391-404, 2021.

[15] H. Wang, S. Lu, G. Qian, J. Ding, Y. Liu, and Q. Wang, "A two-step strategy for online fault detection of high-resistance connection in BLDC motor," IEEE Transactions on Power Electronics, vol. 35, no. 3, pp. 3043-3053, 2019.

[16] M. Zafarani, T. Goktas, and B. Akin, "A comprehensive analysis of magnet defect faults in permanent magnet synchronous motors," in 2015 IEEE Applied Power Electronics Conference and Exposition (APEC), 2015, pp. 2779-2783: IEEE.

[17] Z. Wang et al., "Amplitude-Identifiable MUSIC (Aid-MUSIC) for Asynchronous Frequency in Blade Tip Timing," IEEE Transactions on Industrial Informatics, 2022.

[18] Y.-H. Kim, Y.-W. Youn, D.-H. Hwang, J.-H. Sun, and D.-S. Kang, "High-resolution parameter estimation method to identify broken rotor bar faults in induction motors," IEEE Transactions on Industrial Electronics, vol. 60, no. 9, pp. 4103-4117, 2012.

[19] M. Sahraoui, A. J. M. Cardoso, and A. Ghoggal, "The use of a modified prony method to track the broken rotor bar characteristic frequencies and amplitudes in three-phase induction motors," IEEE Transactions on Industry Applications, vol. 51, no. 3, pp. 2136-2147, 2014.

[20] W. Dehina, M. Boumehraz, and F. Kratz, "On‐line detection and estimation of harmonics components in induction motors rotor fault through a modified Prony's method," International Transactions on Electrical Energy Systems, vol. 31, no. 2, p. e12737, 2021.

[21] K. Yahia, M. Sahraoui, A. J. M. Cardoso, and A. Ghoggal, "The use of a modified Prony's method to detect the airgap-eccentricity occurrence in induction motors," IEEE Transactions on Industry Applications, vol. 52, no. 5, pp. 3869-3877, 2016.

On‐line Detection of Harmonics Components in Magnet Defect Fault of Permanent Magnet Synchronous Motor through a Modified Prony's Method

References

References

Volume 6, Issue 1March 2023Pages 31-36

Volume 6, Issue 1
March 2023
Pages 31-36