dd705a88-50b6-4bda-9909-c553f1207b23 beie director@blueeyesintelligence.org 10.35940/ijrte.B7823.0712223 10.1016/j.ymssp.2020.106908Purushottam Gangsar, Rajiv Tiwari, "Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review," Mechanical Systems and Signal Processing, vol. 144, p. 106908, 2020. [CrossRef]10.1016/j.jtte.2018.03.007Yumei Kang, Hongyuan Liu, Md Maniruzzaman A. Aziz, Khairul Anuar Kassim, "A wavelet transform method for studying the energy distribution characteristics of microseismicities associated rock failure," Journal of Traffic and Transportation Engineering (English Edition), vol. 6, no. 6, pp. 631-646, 2019. [CrossRef]10.1016/j.acha.2005.12.003J. Antonino-Daviu, M. Riera-Guasp, J. Roger-Folch, F. Martínez-Giménez, A. Peris, "Application and optimization of the discrete wavelet transform for the detection of broken rotor bars in induction machines," Applied and Computational Harmonic Analysis, vol 21, no 2, pp. 268-279, 2006. [CrossRef]10.1109/CCECE.2019.8861923M. Z. Ali, and X. Liang, "Induction Motor Fault Diagnosis Using Discrete Wavelet Transform," 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), Edmonton, AB, Canada, 2019, pp. 1-4. [CrossRef]"MAFAULDA," Machinery Fault Database [Online]. Available: https://www.kaggle.com/datasets/vuxuancu/mafaulda-full