Use of Support Vector Machines for Classification of Defects in the Induction Motor

[1] Ondel, O., Boutleux, E., and Clerc, G., “A method to detect broken bars in induction machine using pattern recognition techniques”, IEEE Transactions on Energy Conversion, Institute of electrical and Electronics engineers, vol 20 (3), 2006, pp. 512-519.Search in Google Scholar

[2] Toliyat, H. A., and Lipo, T. A., “Analysis of a concentrated winding induction machine for adjustable speed drive applications. Part 2: Experimental results”, IEEE Transaction on Energy Conversion, vol. 9(4), 1994, pp. 695-700.10.1109/60.368339Search in Google Scholar

[3] Vilhekar, T. G., Ballal, S. M., and Suryawanshi, H. M., “Detection of winding faults in wound rotor induction motor using loci direct and quadrature axes of rotor currents”, Electrical power components and systems, vol. 45, (11), 2017, pp 1217-1230.10.1080/15325008.2017.1334102Search in Google Scholar

[4] Ritchie, E., Deng, X., and Jokinen, T., “Dynamic model of 3-phase squirrel cage induction motors with rotor faults”, ICEM ‘94, B6(2), France, 2004, pp. 694-698.Search in Google Scholar

[5] Bonnett, A. H., “Cause and analysis of anti-friction bearing failures in A.C induction motors”, IEEE Transactions on Industry Application, Sept/Oct, 1993, pp. 14-23.Search in Google Scholar

[6] Diallo, D., Benbouzid, M. E., Hamad, D., and Pierre, X., “Fault detection and diagnosis an induction machine Drive: A pattern recognition approach based on Concordia stator mean current vector”, IEEE Transactions on energy conversion, Institute of electrical and Electronics engineering, vol 20 (3), 2005, pp 512-519.10.1109/TEC.2005.847961Search in Google Scholar

[7] Guota, K., and Kaut, A., “A review on fault diagnosis on induction motor using artificial neural networks”, International journal of science and research, Vol, 3(7). pp. 680-684, 2014.Search in Google Scholar

[8] Tafinine, F., Mokrani, F., Antoni, K., Kabla, J., and Asradj, Z., “Introduction des SVM en MCSA”, 4th International conference, Sciences of electronic, technologies of information and telecommunications, pp.1-7 March 25-29, Tunisia, 2007.Search in Google Scholar

[9] Glowacz, A., “Recognition of acoustic signals on induction motors with the use of MSAF10 and bayes classifier”, Arc. Metall. Mater, vol, 60 (1), 2016, pp. 153-158.10.1515/amm-2016-0028Search in Google Scholar

[10] Sahraoui, M., Ghoggal, A., Zouzou, S., and Benbouzid, E. M. E., “Dynamic eccentricity in squirrel cage induction motors-simulation and analytical study of its spectral signatures on stator currents”, Simulation Modelling Practice and Theory, 2008, pp. 1503-1513.10.1016/j.simpat.2008.08.007Search in Google Scholar

[11] Navneet, D., and Triggs, B., “Histograms of oriented gradients for human detection”, International Conference on computer Vision and Pattern recognition, (CVPR’05), San Diego, United States, pp.886-893, 10.1109/CVPR.2005.177. inria-00548512.Search in Google Scholar

[12] Christianini, N., and Shawe-Taylor, J., “An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods”, computer science, mathematics, Cambridge University Press, Cambridge, UK, pp. 103-109. Published 2000. DOI: 10.1017/CBO9780511801389.01210.1017/CBO9780511801389.012Open DOISearch in Google Scholar

[13] Hadef, M., Djerdir, A., Ikhlef N., Mekideche, M. R., and N’diaye, A. O., “A Fault severity index for stator winding faults detection in vector controlled PM synchronous motor”, J. Electr Eng Techno, vol 10 (6), pp.2326-2333 2015.10.5370/JEET.2015.10.6.2326Search in Google Scholar

[14] Namdarin, M., and Jazayeri-Rad, H., “Incipient fault diagnosis using support vector machines based on monitoring continuous decision functions”, Engineering Applications of Artificial Intelligence, vol 28, 2014, pp 22-35.10.1016/j.engappai.2013.11.013Search in Google Scholar

[15] Weston, J., and Watkings, C., “Support vector machines for multi-class pattern recognition”, In Proceedings of the Seventh European Symposium on Artificial Neural Networks (ESANN 1999), pp. 219-224. MIT Press, Combridge, MA,1999.Search in Google Scholar

[16] Vapnik, V., “Statistical Learning Theory”, Wiley, New York, 1998.Search in Google Scholar

[17] Gelbart, M., Snoek, J. R., and Adams, P., “Bayesian Optimization with Unknown Constraints”, http://arxiv.org/abs/1403.5607, 2014.Search in Google Scholar