Oil Whirl Fault Detection in Induction Motors Using Orbital Analysis and Neural Networks

Author:

Hernández José Juan Carbajal,Cordero Gabriel Longoria,Fernández Luis Pastor Sánchez

Publisher

Springer International Publishing

Reference19 articles.

1. Gaylard, A., Meyer, A., Landy, C.: Acoustic evaluation of faults in electrical machines. Electr. Mach. Drives Conf. Publ. 412, 147–150 (1995)

2. Michalski, M., Zindeluk, M., Rocha, R.: Non-linear experimental detection of oil whirl in horizontal rotors. In: Bachschmid, N. (ed.) Advances in Vibration Control and Diagnostics, pp. 163–175. Polimetrica International Scientific Publisher, Monza (2006)

3. Yahya, L., Saleem, T., Hasan, B.: The application of neural network to electrical motor’s sound recognition system. J. Eng. Appl. Sci. 7(2), 191–193 (2012)

4. Ha, K., Hong, J., Kim, G., Chang, K., Lee, J.: Orbital analysis of rotor due to electromagnetic force for switched reluctance motor. IEEE Trans. Magn. 36(4), 1407–1411 (2000)

5. Iorgulescu, M., Beloiu, R., Cazacu, D.: Vibration monitoring for electrical equipment faults detection using fast Fourier transform. In: Proceedings of the 1st International Conference on Manufacturing Engineering, Quality and Production Systems, vol. 1, pp. 34–38 (2009)

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