P. J. Tavner, B. G. Gaydon, and D. M. Ward, "Monitoring Generators and Large Motors," Proc. Inst. Elect. Eng. - B, vol. 133, no. 3, pp. 169-180, May 1986.
P. Vas, "Parameter Estimation, Condition Monitoring and Diagnosis of Electrical Machines". Oxford, U.K.: Clarendon, 1993.
Bouzid, M.; Champenois, G.; Bellaaj, N.M.; Signac, L.; Jelassi, K. "An Effective Neural Approach for the Automatic Location of Stator Interturn Faults in Induction Motor" IEEE Transactions on Industrial Electronics, Vol 12) 55 (pp. 4277-4289,. 2008.
Lebaroud Abdesselam, Clerc Guy "Study of Rotor Asymmetry Effects of an Induction Machine by Finite Element Method", JEET, Journal of Electrical Engineering & Technology, Vol. 6, No. 3, pp. 342-349, 2011.
Cupertino, F.; Giordano, V.; Mininno, E.; Salvatore, L "Application of Supervised and Unsupervised Neural Networks for Broken Rotor Bar Detection in Induction Motors" IEEE International Conference onElectric Machines and Drives, pp1895-1901, 2005.
Ammar Medoued, Abdesselem Lebaroud, Ahcene Boukadoum and Guy Clerc, "On-line Faults Signature Monitoring Tool for, Induction Motor Diagnosis", Journal of Electrical Engineering & Technology Vol. 5, No. 1, pp. 140-145, 2010.
Chow, M.-y.; Mangum, P.M.; Yee, S.O. "A neural network approach to real-time condition monitoring of induction motors" IEEE Transactions on Industrial Electronics pp. (6) 38 l vo 448-453, 1991.
H. Su and K. T. Chong, "Induction Machine Condition Monitoring Using Neural Network Modeling," IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 241-249, Feb. 2007.
A. Ordaz-Moreno, R. de Jesus Romero-Troncoso, J. A. Vite-Frias, J. R. Rivera-Gillen, and A. Garcia-Perez, "Automatic Online Diagnosis Algorithm for Broken-Bar Detection on Induction Motors Based on Discrete Wavelet Transform for FPGA Implementation", IEEE Trans. Ind. Electron., vol. 55, no. 5, pp. 2193-2202, May 2008.
B. Yazıcı and G. B. Kliman, "An Adaptive Statistical Time-Frequency Method For Detection of Broken Bars and Bearing Faults in Motors Using Stator current," IEEE Trans. Ind. Appl., vol. 35, no. 2, pp. 442-452, Mar./Apr. 1999.
M. Wang, G. I. Rowe, and A. V. Mamishev, "Classification of Power Quality Events Using Optimal Time-Frequency Representations - Part 2: Application," IEEE Trans. Power Del., vol. 19, no. 3, pp. 1496-1503, Jul. 2004.
M. Davy and C. Doncarli, "Optimal kernels of time-frequency representations for signal classification," in Proc. IEEE-SP Int. Symp. Time-Freq. Time-Scale Anal., pp. 581-584, 1998.
C. Heitz, "Optimum Time-Frequency Representations for the Classification and Detection of Signals," Appl. Signal Process., vol. 2, no. 3, pp. 124-143, 1995.
B. W. Gillespie and L. Atlas, "Optimizing Time-Frequency Kernels for Classification," IEEE Trans. Signal Process., vol. 49, no. 3, pp. 485-496, Mar. 2001.
K. P. Wong and J. Yuryevich, Evolutionary Programming Based Algorithm for Environmentally Constrained Economic Dispatch, IEEE Trans. Power Syst., Vol.13, No.2, pp. 301, May 1998.
P. J. Angeline, Using Selection to Improve Particle Swarm Optimization, in Proc. IEEE International Conference on Evolutionary. Computations, pp. 84-89, May 1998.
J. Kennedy and R. Eberhart, Particle swarm optimization, Proc. IEEE Int. Conf. Neural Networks, Vol. IV, pp. 1942-1948, 1995.
A.Medoued, A.Lebaroud, A.Boukadoum, T.Boukra, G. Clerc, "Back Propagation Neural Network for Classification of Induction Machine Faults," 8th SDEMPED, IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives September 5-8, 2011, Bologna, Italy, pp 525-528, 2011.
A. Lebaroud and G. Clerc, "Classification of Induction Machine Faults by Optimal Time frequency Representations," IEEE Trans. on Industrial Electronics, vol. 55, no. 12, december 2008.
A. Lebaroud and G. Clerc, "Accurate Diagnosis of Induction Machine Faults Using Optimal Time-Frequency Representations" Engineering Applications of Artificial Intelligence. Vol. 22, Issues 4-5, June 2009, Pages 815-822.
J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. IEEE Int. Conf. Neural Netw., vol. 4, Nov. 1995, pp. 1942-1948.
V. Rashtchi, R. Aghmasheh "A New Method for Identifying Broken Rotor Bars in Squirrel Cage Induction Motor Based on Particle Swarm Optimization Method," World Academy of Science, Engineering and Technology Vol. 67, pp. 694-698, 2010.
R. Eberhart and Y. Shi, "Particle swarm optimization: developments, applications and resources," in Proc. Cong. Evol.Comput, Vol. 1, pp. 81-86, 2001.
J. Kennedy and R. Mendes, "Neighborhood topologies in fully informed and best-of-neighborhood particle swarms," Proc. of the IEEE International Workshop, pp. 45-50, June 2003.
M'hamed, B. "Using Two Pso-Structures Approaches To Estimate Induction Machine Parameters ",13th European Conference on Power Electronics and Applications,pp1-8, 8-10 Sept. 2009.
Hamid, R.H.A.; Amin, A.M.A.; Ahmed, R.S.; El-Gammal, A. "New Technique for Maximum Efficiency and Minimum Operating Cost of Induction Motors Based on Particle Swarm Optmization (PSO)" IEEE International Symposium on Industrial Electronics, Vol. 3(21), pp. 2176 - 2181,: 2006.
H. Fan and Y. Shi, "Study on Vmax of particle swarm optimization," in Proc. Workshop on Particle Swarm Optimization, Purdue School of Engineering and Technology, Indianapolis, IN, Apr. 2001.
Fausett L. ''Fundamentals of neural networks architectures, algorithms, and applications.'' Englewood Cliffs, NJ: Prentice Hall; 1994.
aykin S. ''Neural networks: a comprehensive foundation''. New York: Macmillan; 2nd ed. 1998.