Authors : Sushant Salunkhe, Vikrant Konile, Tushar Khude, Bhagyashri Patil, Divya Marathe, Prof. S.M. Wani, Mr. Ganesh Badgujar
DOI : 10.46335/IJIES.2025.10.4.11
Abstract- This review paper presents A Comprehensive Review of styles for Gearbox Diagnostics and Prognostics through Vibration Analysis. Over the times, colorful ways, including time- sphere, frequency- sphere, sea transfigure, envelope analysis, and time- frequency sphere styles, have been developed to descry and diagnose faults in gearboxes. Vibration analysis has proven to be an essential tool for early fault discovery, condition- grounded monitoring, and the vaticination of a gearbox’s remaining useful life( RUL). This paper synthesizes findings from a wide range of studies and discusses the operation of these ways in different types of gearboxes, from worm gears to conventional spur gears. The integration of vibration analysis with ultramodern machine learning algorithms and Internet of effects( IoT) technologies offers promising directions for unborn advancements. Despite significant progress, challenges similar as noise hindrance, fault complexity, and data quality remain. This review highlights the significance of vibration analysis in perfecting the trustability and life of gearbox systems, emphasizing its part in prophetic conservation strategies across colorful diligence.
