Application of Support Vector Machine to stator winding fault detection and classification of permanent magnet synchronous motor-Reference-Cited by-同舟云学术

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Application of Support Vector Machine to stator winding fault detection and classification of permanent magnet synchronous motor

Published:2021-04-25 Issue: Volume: Page:
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Container-title:2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)
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Author:

Pietrzak Przemyslaw,Wolkiewicz Marcin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9432488/9432490/09432629.pdf?arnumber=9432629

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A deep residual neural network model for synchronous motor fault diagnostics;Applied Soft Computing;2024-07

2. Monitoring of Stator Winding Insulation Degradation through Estimation of Stator Winding Temperature and Leakage Current;Machines;2024-03-26

3. A Hybrid Fault Detection Method for Hairpin Windings Integrating Physics Model and Machine Learning;IEEE Access;2024

4. A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers;Energy and AI;2023-10

5. Zastosowanie sieci neuronowych do detekcji zwarć zwojowych silnika PMSM z wykorzystaniem modelowania matematycznego;PRZEGLĄD ELEKTROTECHNICZNY;2023-04-07

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