[1] V. Venkatasubramanian, R. Rengaswamy, K. Yin,S. N. Kavuri, (2003) A review of process fault detection and diagnosis. Part I: Quantitative model-based methods, Computers and Chemical Engineering 27, www.elsevier.com/locate/compchemeng10.1016/S0098-1354(02)00160-6
[3] A. Giantomassi, S. Iarlori, S. Longhi, (2014) Electric Motor Fault Detection and Diagnosis by Kernel Density Estimation and Kullback-Leibler Divergence based on Stator Current Measurements, IEEE Transactions on Industrial Electronics, January, https://www.researchgate.net/publication/264235 282
[4] J. Cusido, J. A. Ortega, J. R. Garcia, L. Romeral, (2006) New fault detection techniques for induction motors, Electrical Power Quality and Utilization Magazine vol.II, no.1, https://www.researchgate.net/
[5] W.T. Thomson, P.Orpin, (2002) Current and vibration monitoring for fault diagnosis and root cause analysis of induction motor drives, Proceedings of the Thirty-first Turbomachinery Symposium pag.61-68 https://pdfs.semanticscholar.org/
[6] D. M. Sonje, R. K. Munje, (2011) Rotor Cage Fault Detection in Induction Motors by Motor Current Signature Analysis, International Conference in Computational Intelligence (ICCIA) 2011 Proceedings published in International Journal of Computer Applications® (IJCA), pag. 22-26, https://www.researchgate.net/
[8] A. Simion, L. Livadaru, A. Munteanu, (2012) Mathematical Model of the Three-Phase Induction Machine for the Study of Steady-State and Transient Duty Under Balanced and Unbalanced States, http://dx.doi.org/<a href="https://doi.org/10.5772/4998310.5772/49983" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.5772/4998310.5772/49983</a>
[11] W.R.Finley, M.M.Hodowanec, W.G.Holter, (2011) An Analytical Approach to Solving Motor Vibration Problems, Siemens Energy & Automation Inc., https://ieeexplore.ieee.org/document/871297
[13] S. Bachir, S. Tnani, G. Champenois, J-C. Trigeassou, (2014) Induction motor modeling of broken rotor bars and fault detection by parameter estimation, https://www.researchgate.net/publication/228459830