This paper discuss a simple, low-cost method I detecting wear progress of bearing within audio frequency signals; f < 20 kHz. The technique is found to be suitable since it is sensitive to the surface degradation prior to the onset of severe wear. The wear test is conducted under pin-on-disc configuration in a lubricated sliding condition. The results show that the value of I-kaz coefficient Z∞ is represented by scattered data in an I-kaz 3D spaces in which the scattered areas underwent contraction with increased sliding distance. From this statistical analysis, a clear-cut correlation with the established Taylor Tool Life Curve is noted. Here, the lower value of Z∞ indicates severe wear which lies I the failure region of Taylor’s curve. Examination of worn microstructures is carried out using a secondary electron microscopy (SEM). Based on the morphology investigation, it is found that under lubricated test, parallel grooves and craters up to 2 µm in size are present indicating an abrasive wear mechanism has occurred. The surface damages are found to scale with the increasing sliding distance. However the wear resistance behaviour of the bearings seems to improve as the sliding distance is increased.