Thispaper gives the idea about real-time monitoring of transmission shaftsby using cheaper and more accurate ways to monitor the health of a shaft during the operational condition and predict possible failure. Sensor technology is used as a data collection system. Deflection and speed are important parameters for stress in a mechanical system. Data will be collected to do the prediction of shaft health in real-time. The reliability and performance of mechanical systems are often contingent on the health of their transmission shafts. Real-time monitoring of these components is crucial for early detection of faults, reducing downtime, and ensuring operational safety. This research paper presents a comprehensive study on the development and implementation of a low-cost sensor system for real-time monitoring of transmission shafts. The study explores sensor selection, system design, data acquisition, signal processing, and fault detection techniques, aiming to provide an economical yet effective solution for industries relying on heavy machinery.

Shaft, failure, real-time, health monitoring, sensors, prediction.