Damage Detection of Roller Bearing System Using Experimental Data

Roller bearings are widely used in many rotating systems of automobiles, process industries namely cement, sugar, textile, petrochemical etc., where supported loads coming on the bearings are relatively high as well as rotating speeds are generally high. Being critical member of the entire system, these bearings play an important role in the overall performance of the system. Failure of such bearings in any one of the critical machine of process industry disrupts entire production process and loads to heavy production loss. Early detection of faults in the bearing is, therefore, highly essential to avoid catastrophic. Monitoring and analysis of vibration signal generated by faults in the bearings helps to diagnose exact fault in the bearings. This paper deals with the study of vibration response of roller bearings by using mathematical model. Mathematical model considers the influence of the bearing structure parameters on the vibration of the system. The experimental data technique is used to find out bearing vibration amplitude and defect frequencies. The method proposed in this paper for vibration characteristics calculation of a roller bearing is credible and will save time and costs by timely detection of imminent bearing failure.