References
- [1] Gill, P. “Electrical power equipment maintenance and testing”, 2nd ed. Taylor & Francis Group, LLC., 2009.
- [2] Moghadasian, M., Shakouhi, S. M., and Moosavi, S. S. “Induction motor fault diagnosis using ANFIS based on vibration signal spectrum analysis”, in Proc. 3rd International Conference on Frontiers of Signal Processing (ICFSP). Paris, France, 2017.
- [3] Bouras, A. Bouras, S. and Kerfali, S. “Prediction of the mass unbalance of a variable speed induction motor by stator current multiple approaches”, Turkish Journal of Electrical Engineering & Computer Sciences., vol. 26, pp. 1056–1068, 2017.
- [4] Gangsar, P., and Tiwari, R., “Comparative investigation of vibration and current monitoring for prediction of mechanical and electrical faults in induction motor based on multiclasssupport vector machine algorithms”, Mechanical Systems and Signal Processing, vol. 94, pp. 464–481, 2017.
- [5] Akçay, H., Germen, E., and Turkay, S. “Induction Motor Identification from Acoustic Noise Spectrum by a Covariance Subspace Algorithm”, in Proc. IEEE 14th International Conference on Control and Automation (ICCA). Anchorage, AK, USA, 2018.
- [6] Glowacz, A. “Acoustic based fault diagnosis of three-phase induction motor”, Applied Acoustics, vol. 137, pp. 82–89, 2018.
- [7] Hassan, O.E., Amer, M., Abdelsalam, A.K., and Williams, B.W. “Induction motor broken rotor bar fault detection techniques based on fault signature analysis – a review”, IET Electric Power Applications, vol. 12, no. 7, pp. 895–907, 2018.
- [8] Chang, H., Kuo, C., Hsueh, Y., Wang, Y., and Hsieh, C. “Fuzzy-based fault diagnosis system for induction motors on smart grid structures”, in Proc. IEEE International Conference on Smart Energy Grid Engineering (SEGE). Oshawa, ON, Canada, 2017.
- [9] Dong, M., Cheang, T., Booma, D.S., and Chan, S. “Fuzzy-expert diagnostics for detecting and locating internal faults in three phase induction motors”, Tsinghua Science and Technology, vol. 13, no. 6, pp. 817–822, 2008.
- [10] Cho, H.C., Kim, K. S., Song, C.H., Lee, Y.J., and Lee. K.S. “Online fault detection and diagnosis algorithm based on probabilistic model for induction machines”, in Proc. 2008 SICE Annual Conference. Tokyo, Japan, 2008.
- [11] Darwiche, A. “Modeling and reasoning with Bayesian networks”, Cambridge University Press, 2009.