Fault Diagnosis in Direct Current Electric Motors via an Artificial Neural Network-Reference-Cited by-同舟云学术

Fault Diagnosis in Direct Current Electric Motors via an Artificial Neural Network

Published:2019 Issue: Volume: Page:488-498
ISSN:1865-0929
Container-title:Engineering Applications of Neural Networks
language:
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Author:

Aravanis Theofanis I.,Aravanis Tryfon-Chrysovalantis I.,Papadopoulos Polydoros N.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-20257-6_42

Reference8 articles.

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2. Filbert, D., Schneider, C., Spannhake, S.: Model equation and fault detection of electric motors. Technical report, IFAC Fault Detection, Supervision and Safety for Technical Processes, Baden-Baden, Germany (1991)

3. Isermann, R.: Fault diagnosis of electrical drives. In: Isermann, R. (ed.) Fault-Diagnosis Applications, pp. 49–80. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-12767-0_3

4. Liu, X.Q., Zhang, H.Y., Liu, J., Yang, J.: Fault detection and diagnosis of permanent-magnet DC motor based on parameter estimation and neural network. IEEE Trans. Ind. Electron. 89, 1021–1030 (2000)

5. Patan, K., Korbicz, J., Głowacki, G.: DC motor fault diagnosis by means of artificial neural network. In: Proceedings of the International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007, pp. 11–18 (2007)

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