Analysis and Classification of Faults in Switched Reluctance Motors Using Deep Learning Neural Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s13369-020-05051-y.pdf
Reference26 articles.
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3. Ahn, J.-W.; Lukman, G.F.: Switched reluctance motor: research trends and overview. CES Trans. Elect. Mach. Syst. 2(4), 339–347 (2018)
4. Ilhem, B.; Amar, B.; Lebaroud, A.: Classification method for faults diagnosis in reluctance motors using hidden Markov models. In: IEEE 23rd International Conference on Industrial Electronics (ISIE) (2014)
5. Mir, S.; Islam, M.S.; Sebastian, T.; Husain, I.: Fault-tolerant switched reluctance motor drive using adaptive fuzzy logic controller. IEEE Trans. Power Electron. 19(2), 289–295 (2004)
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