An effective torque-based method for automatic turn fault detection and turn fault severity classification in permanent magnet synchronous motor
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-023-02113-w.pdf
Reference43 articles.
1. Zhang J, Xu Z, Wang J et al (2020) Detection and discrimination of incipient stator faults for inverter-fed permanent magnet synchronous machines. IEEE Trans Ind Electron 68:1–1. https://doi.org/10.1109/tie.2020.3009563
2. Hu R, Wang J, Member S et al (2021) Current-residual-based stator interturn fault detection in permanent magnet machines. IEEE Trans Ind Electron 68:59–69. https://doi.org/10.1109/TIE.2020.2965500
3. Da Y, Shi X, Krishnamurthy M (2011) Health monitoring, fault diagnosis and failure prognosis techniques for Brushless Permanent Magnet Machines. In: 2011 IEEE vehicle power and propulsion conference. IEEE, pp 1–7
4. Grubic S, Aller JM, Lu B, Habetler TG (2008) A survey on testing and monitoring methods for stator insulation systems of low-voltage induction machines focusing on turn insulation problems. IEEE Trans Ind Electron 55:4127–4136. https://doi.org/10.1109/TIE.2008.2004665
5. Gandhi A, Corrigan T, Parsa L (2011) Recent advances in modeling and online detection of stator interturn faults in electrical motors. IEEE Trans Ind Electron 58:1564–1575. https://doi.org/10.1109/TIE.2010.2089937
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