Benbouzid , M.E. "A review of induction motors signature analysis as a medium for faults detection", IEEE transactions on industrial electronics,Vol. 47, No.5, pp.984-993, 2000.
 Bazan GH, Scalassara PR, Endo W, Goedtel A, Godoy WF, Palácios RH. "Stator fault analysis of three-phase induction motors using information measures and artificial neural networks", Electric Power Systems Research. Vol.143, pp.347-356, 2017.
 Andrijauskas I, Adaskevicius R. "Analysis of Progressively Unbalanced Induction Motor Current Signals Based on Information Entropy", Elektronika ir Elektrotechnika. Vol. 24; No.4, pp.9-15, 2018.
 Kong Y, Wang T, Chu F. "Meshing frequency modulation assisted empirical wavelet transform for fault diagnosis of wind turbine planetary ring gear", Renewable energy, Vol.132, No.1, pp.1373-1388, 2019.
 Hassan OE, Amer M, Abdelsalam AK, Williams BW. "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 .
 S.-H. Lee, S. Kim, J.M. Kim, C. Choi, J. Kim, S. Lee, Y. Oh, "Extraction of induction motor fault characteristics in frequency domain and fuzzy entropy", in:Proceedings of the 2005 IEEE International Conference on Electric Machines and Drives, IEEE, San Antonio, TX, USA, , pp. 35–40, 2005.
 N.R. Devi, D.V.S.S. Siva Sarma, P.V. Ramana Rao, "Detection of stator incipient faults and identification of faulty phase in three-phase induction motor simulation and experimental verification", IET Electr. Power Appl. Vol.9, No.8, pp.540-548, 2015.
 D.A.Asfani,A.K.Muhammad,Syafaruddin,M.H.Purnomo,T.Hiyama, "Temporary short circuit detection in induction motor winding using combination of wavelet transform and neural network", Expert Syst. Appl, Vol.39, No.5, pp. 5367–5375, 2012.
 V.N. Ghate, S.V. Dudul, "Optimal MLP neural network classifier for fault detection of three phase induction motor", Expert Syst. Appl. Vol.37, No.4. pp. 3468–3481, 2010.
 V.N. Ghate, S.V. Dudul, "Cascade neural-network-based fault classifier for three-phase induction motor", IEEE Trans. Ind. Electron. Vol.58, No.5, pp.1555-1563, 2011.
 A. Verma, S. Sarangi, M.H. Kolekar, "Stator winding fault prediction of induction motors using multiscale entropy and grey fuzzy optimization methods", Comput. Electr. Eng. Vol.40, No.5, pp.2246–2258, 2014.
 P.S. Bhowmik, M. Prakash, S. Pradhan, "A novel neuro-classifier using multiscale permutation entropy for motor fault diagnosis", in: Proceedings of the IEEE, 2014.
 K.Y. Chen ,L. Sh. Chen , M.Ch. Chen and Ch. L. Lee "Using SVM based method for equipment fault detection in a thermal power plant" Computers in Industry, pp. 42–50, 2011.
 A. Rincon, "Multiple Fault Detection and Diagnosis in a Gas Turbine using Principal Component Analysis and Structured Residuals" 20th Mediterranean Conference on Control and Automation Barcelona, Spain, 2012
 A. Ajami and M. Daneshvar, "Data driven approach for fault detection and diagnosis of turbine in thermal power plant using Independent Component Analysis (ICA)" International journal of Electrical Power and Energy Systems , Vol.43, pp. 728–735, 2012.
 M. Berahman, A.A. Safavi, M.R. Shahrbabaki, "Fault detection in Kerman combined cycle power plant boilers by means of support vector machine classifier algorithms and PCA" Control, Instrumentation, and Automation (ICCIA), 3rd International Conference. pp. 290 – 295, 2013
 Deng W, Yao R, Zhao H, Yang X, Li G." A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm". Soft Computing. Vol.23, No.7, pp.2445-2462, 2019
 Hassani H, Zarei J, Razavi-Far R, Saif M. "Robust Interval Type-2 Fuzzy Observer for Fault Detection of Networked Control Systems Subject to Immeasurable Premise Variables", IEEE Systems Journal, 2019.
 Hassani H, Zarei J, Arefi MM, Razavi-Far "R. zSlices-based general type-2 fuzzy fusion of support vector machines with application to bearing fault detection". IEEE Transactions on Industrial Electronics. Vol.64, No.9, pp.:7210-7217. 2017.
 Couceiro, Micael, and Seenith Sivasundaram. "Novel fractional order particle swarm optimization. " Applied Mathematics and Computation, Vol. 283, pp. 36-54, 2016.
 NAVI, SAMAN POURSIAH, et al. "Analysis of The Usage of Chaotic Theory in Data Clustering Using Particle Swarm Optimization. " Indian J. Sci. Vol. 4, No. 3, pp. 335-353. 2014.
 Liu W, Luo N, Pan G, Ouyang A. "Chaos particle swarm optimization algorithm for optimization problems". International Journal of Pattern Recognition and Artificial Intelligence. 2018.
 Tian, D. , & Zhao, T. "Particle swarm optimization based on tent map and logistic map", Journal of Shaanxi University of Science and Technology Vol.28, pp. 17–23, 2010.
 Tian, Dongping. "Particle swarm optimization with chaos-based initialization for numerical optimization. " Intelligent Automation & Soft Computing, Vol.12, No.6, pp.1-12. 2017.