A New Artificial Neural Network-Based Failure Determination System for Electric Motors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-05594-8.pdf
Reference43 articles.
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3. Benbouzid, M.E.: A review of induction motors signature analysis as a medium for faults detection. IEEE Trans. Ind. Electron. 47(5), 984–993 (2000)
4. Armentani, E.; Sepe, R.; Parente, A.; Pirelli, M.: Vibro-acoustic numerical analysis for the chain cover of a car engine. Appl. Sci.-Basel 7(6), 610 (2017)
5. Li, Z.X.; Jiang, Y.; Hu, C.; Peng, Z.: Recent progress on decoupling diagnosis of hybrid failures in gear transmission systems using vibration sensor signal: a review. Measurement 90, 4–19 (2016)
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