Fault Identification in Doubly Fed Induction Generator Using FFT and Neural Networks-Reference-Cited by-同舟云学术

Fault Identification in Doubly Fed Induction Generator Using FFT and Neural Networks

Published:2012 Issue: Volume: Page:699-706
ISSN:0302-9743
Container-title:Intelligent Data Engineering and Automated Learning - IDEAL 2012
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Author:

de Santana Marcelo Patrício,de Almeida Monteiro José Roberto Boffino,de Paula Geyverson Teixeira,de Almeida Thales Eugenio Portes,Romero Gustavo Bueno,Faracco Júlio César

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-32639-4_83

Reference11 articles.

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2. Boldea, I.: Variable speed generators. Taylor&Francis, Timisoaria (2006)

3. El-helw, H.M., Tennakoon, B.S.: Vector Control of a Doubly Fed Induction Generator for Standalone Wind Energy Application. In: 2008 Wind Power to the Grid, EPE Wind Energy Chapter, pp. 1–6 (2008)

4. Lesic, V., Vasak, M., Peric, N., Wolbank, T., Joksimovic, G.: Fault-tolerant control of a blade-pitch wind turbine with inverter-fed generator. In: 1st IEEE International Symposium on Industrial Electronics, pp. 12097–12102 (2011)

5. Henao, H., Capolino, G.A., Casadei, D., Filippetti, F., Rossi, C.: Simulation of a doubly-fed induction machine for wind turbine generator fault analysis. In: 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, pp. 1–6 (2005)

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