1. Ibrahim Sheriff, K.A., Hariharan, V., Mathan Kumar, B.: Review on condition monitoring of rotating machines. Int. J. Sci. Technol. Res. 9(2), 2343–2346 (2020)
2. Meziania, S., Zaroura, D., Thomas, M.: Experimental study for early detection of bearing defects by vibration and acoustic emission. In: 23 ème Congrès Français de Mécanique Lille, 28 Août au 1er Septembre 2017
3. Duque, O., Perez, M., Morinigo, D.: Detection of bearing faults in cage induction motors fed by frequency converter using spectral analysis of line current. In: 2005 IEEE International Conference on Electric Machines and Drives, San Antonio, TX, pp. 17–22 (2005)
4. Shehata, S.A.M., et al.: Detection of induction motors rotor/stator faults using electrical signatures analysis. In: International Conference on Renewable Energies and Power Quality, ICREPQ 2013, Bilbao, Spain, 20–22 March 2013 (2013)
5. Srivani, A., et al.: Fuzzy C-Means based clustering and rule formation approach for classification of bearing faults using discrete wavelet transform. Computation 7(4), 54 (2019). https://doi.org/10.3390/computation7040054