ABSTRACT
In the present work, various vibration parameters are used for fault identification in a rolling element bearing. Different sizes of artificial defect were seeded on the outer race of a rolling element bearing. Time domain parameters such as Root Mean Square (RMS), peak to peak, crest factor and kurtosis have been measured for different sizes of defect and are compared with a healthy bearing. In order to identify the defect, a location frequency domain study has been done. As the defect size decreases, the vibration signals obtained become very weak and it is difficult to identify the defect frequency because of external noise. Envelope analysis is used to remove this high-frequency noise from the low-frequency fault signature.
