Fuzzy-Based Intelligent Algorithm for Diagnosis of Drive Faults in Induction Motor Drive System
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s13369-019-03935-2.pdf
Reference31 articles.
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3. Henao, H.; et al.: Trends in fault diagnosis for electrical machines: a review of diagnostic techniques. IEEE Ind. Electron. Mag. 8(2), 31–42 (2014)
4. Riera-Guasp, M.; Antonino-Daviu, J.A.; Capolino, G.A.: Advances in electrical machine, power electronic, and drive condition monitoring and fault detection: state of the art. IEEE Trans. Ind. Electron. 62(3), 1746–1759 (2015)
5. Liu, Y.; Bazzi, A.M.: A review and comparison of fault detection and diagnosis methods for squirrel-cage induction motors: state of the art. ISA Trans. 70, 400–409 (2017)
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