Experimental study on health monitoring of ball bearing by analyzing the sound level

Abstract

This study explores a novel approach to ball bearing health monitoring analyzing sound level. Ball bearings are crucial components in machinery, but they are prone to problems like pitting, misalignment, fatigue etc. These issues can lead to significant operational downtime and safety risks. This research proposes analyzing sound level for early detection of these problems. Unlike traditional methods, sound analysis is non-intrusive and efficient.By analyzing the signals emitted by bearings, the study aims to identify unique patterns associated with different bearing health states, such as pitting, misalignment, fatigue etc. This will not only improve fault detection but also lay the groundwork for a more comprehensive health monitoring system.