• Prof.Jitendra Gaikwad
• Rushikesh Sarawade
• Shreem Agrawal
• Sarthak Kamble
• Rohit Patil

Gearboxes are critical industrial equipment, and working performance is contingent on their integrity. Most defects, including cracked gear teeth, go undetected until catastrophic failure occurs with attendant cost and time wastages. This article presents a Continuous Wavelet Transform (CWT)-based vibration analysis fault detection system. As opposed to common practice, the proposed technique treats gearbox signals in the time-frequency domain for detection of faults, provision of pre-emptive warnings, and estimation of residual life. The effectiveness of the technique in real-time diagnosis without extensive use of training data or advanced machine learning techniques is corroborated using experimental tests on running and faulty vibration signals of gearboxes.

Gearbox fault detection, Continuous wavelet transform (CWT), Predictive maintenance, Vibration signal analysis

" Vibration-Based Fault Detection and Predictive Maintenance of Gearboxes Using Continuous Wavelet Transform (CWT)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.i480-i484, May-2025, Available :http://www.jetir.org/papers/JETIR2505953.pdf

" Vibration-Based Fault Detection and Predictive Maintenance of Gearboxes Using Continuous Wavelet Transform (CWT)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppi480-i484, May-2025, Available at : http://www.jetir.org/papers/JETIR2505953.pdf