Paper Contents
Abstract
This project focuses on creating automation to check lifespan of worm gearbox. Gearboxes are critical components in various industrial and mechanical systems, playing a vital role in power transmission. Ensuring their reliability and longevity is essential for minimizing downtime and maintenance costs. Traditional methods of lifespan assessment rely heavily on manual inspection and periodic testing, which can be time-consuming, error-prone, and insufficient to detect early signs of wear. This study introduces an automated system for evaluating the life span of gearboxes using advanced sensing technologies, machine learning, and real-time monitoring. The system incorporates sensors to measure key parameters such as vibration, temperature, torque, and rotational speed.
Copyright
Copyright © 2025 Vijay D Sonappanavar. This is an open access article distributed under the Creative Commons Attribution License.
