396e3d57186c1f28fcb4b3c 20230720052406257 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 07 30 2023 12 2 Department of Electrical and Electronics Engineering, National Institute of Technology Karnataka, Surathkal (Karnataka), India. Debayan Bhaumik https://orcid.org/0009-0002-1362-7147 Debrup Bhaumik Department of Safety Engineering, National Institute of Technology, Rourkela (Odisha), India. Induction motors are most commonly used in many industries, including petrochemicals, oil, and steel. A single failure in any of the induction motor's components or sub-components can result in a plant shutdown. The plant will suffer significant financial losses as a result. It is crucial to diagnose different types of faults in induction motors. Various condition monitoring techniques diagnose faults in induction motors in the early stages. Vibration analysis is most commonly used among different condition monitoring techniques due to its higher accuracy than other methods. Vibration analysis is used to detect various types of faults in induction motors. The acceleration vibration data corresponding to multiple types of defects are gathered from publicly available web resources. The primary objective of this research work is to explore the severity of horizontal and vertical misalignment defects utilizing a signal processing approach. To achieve this objective, Discrete Wavelet Transform (DWT) is used to detect abnormal behavior of the induction motor. The Daubechies-4(db4) wavelet is chosen as a mother wavelet. As Daubechies wavelet is an orthogonal wavelet, the percentage energy in all decomposed sub-band will equal the original energy of the signal. The energy level of sub-bands is compared with the healthy condition of the motor to detect significant changes in motor fault. 07 30 2023 97 101 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true International Journal of Recent Technology and Engineering (IJRTE) No, I did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. The data sets were obtained from the Kaggle community. I, Debayan Bhaumik, completed this research article with the help of Mr. Debrup Bhaumik. This project work can not be completed without the guidance of Mr. Debrup Bhaumik. 10.35940/ijrte.B7823.0712223 https://www.ijrte.org/portfolio-item/B78230712223/