Condition monitoring on bearing faults of electric motor – Based on vibration signal

Abstract

The condition monitoring of rotating shaft is important in terms of system maintenance and process automation, especially for the bearing which is most common component in machines or apparatuses. In this project, a general model of faulty bearing based on vibration signal will be developed. The accelerometer is used to detect the frequency signals of vibration from new bearing, used bearing and bearing with artificial damage in fan table motor. The graph of frequency responses for different bearing conditions is plotted using Matlab Programming. This graph will be used to diagnose fault in bearings on the other fan table motor.