Application of AdaBoost for stator fault diagnosis in three-phase permanent magnet synchronous motors based on vibration–current data fusion analysis
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00202-023-02195-6.pdf
Reference60 articles.
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2. Tang J, Liang C, Wang Y, Lu S, Zhou J (2021) A stator fault diagnosis method based on the offline motor parameter measurement for PMSM. World Electr Veh J. https://doi.org/10.3390/wevj12040248
3. Pietrzak P, Wolkiewicz M (2023) Demagnetization fault diagnosis of permanent magnet synchronous motors based on stator current signal processing and machine learning algorithms. Sensors. https://doi.org/10.3390/s23041757
4. Mahafzah KA, Obeidat MA, Mansour AM, Al-Shetwi AQ, Ustun TS (2022) Artificial-intelligence-based open-circuit fault diagnosis in VSI-Fed PMSMs and a novel fault recovery method. Sustainability. https://doi.org/10.3390/su142416504
5. Huang W, Chen J, Hu J, Lv K, Liu H (2023) Search-coil based stator interturn fault detection in permanent magnet machines running under dynamic condition. Electronics (Basel). https://doi.org/10.3390/electronics12132827
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