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.