Abstract: The actual road load time histories which were experimentally measured on a automotive component contains variable amplitude patterns, having a mixture of low and high amplitudes cycles. In terms of fatigue damage characterization, these low amplitude cycles have little or no effects to the failure of metallic components. Due to the importance of high amplitude events in the fatigue time histories, it shows an interest to explore a fatigue data compression technique (or also known as fatigue history editing) using a signal processing approach. Several computational algorithm of the fatigue data editing have been previously developed. Instead of these, the author used the time-frequency (or wavelet) approach in developing an alternative solution and it is called Wavelet Bump Extraction (WBE). For the scope of this study, the discussion will focus on the applicability of WBE using variable loadings.