Demagnetization fault detection of permanent magnet synchronous motor with convolutional neural network-Reference-Cited by-同舟云学术

Demagnetization fault detection of permanent magnet synchronous motor with convolutional neural network

Published:2023-02-11 Issue:3 Volume:105 Page:1695-1708
ISSN:0948-7921
Container-title:Electrical Engineering
language:en
Short-container-title:Electr Eng

Author:

Eker Mustafa,Gündogan Binnaz

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00202-023-01768-9.pdf

Reference44 articles.

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2. Öksüztepe E, Omaç Z, Polat M, Çelik H, Selçuk AH, Kürüm H (2016) Sensorless field oriented control of nonsinusoidal flux-distribution permanent magnet synchronous motor with a FEM based ANN observer. Turkish J Electr Eng Comput Sci 24(4):2994–3010. https://doi.org/10.3906/ELK-1403-269

3. Kumar KV, Kumar SS, Praveena B, John JP, Paul JE (2010) “Soft computing based fault diagnosis.” In 2010 2nd Int. Conf. Comput. Commun. Netw. Technol. ICCCNT 2010. https://doi.org/10.1109/ICCCNT.2010.5591631.

4. Nandi S, Toliyat HA, Li X (2005) Condition monitoring and fault diagnosis of electrical motors—a review. IEEE Trans Energy Convers 20(4):719–729. https://doi.org/10.1109/TEC.2005.847955

5. Çıra F (2019) Detection of winding insulation fault by using moment data of permanent magnet synchronous motor with extreme learning machine method. EMO Bilim Dergi 9(2):7–15

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