Ten lectures on wavelets
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This paper presents a simple method for detecting of wear bearing progression that ranged of low frequency signal f Z∞ was represented by scattered data in three dimensional in I-kaz three dimensional big spaces and vice versa. It was found that the results for this method may capture realistic behaviour of bearing contacts in which correlates wear progression and the produced signal. From the statistical analyses of the wear bearing, it was possible to correlate the relationship between Taylor Tool Life curve, which was utilized in identifying typical wear growth. The Z∞ and Taylor curve were observed to the trend of wear rate. The lower value of Z∞ indicating wear became severe as showed in failure region in Taylor curve.