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This paper describes a technique to identify the important features in fatigue road load datathat cause the majority of the total damage. Fatigue damaging events, called bumps, areextracted from the original road load time history using a wavelet-based algorithm, calledWavelet Bump Extraction (WBE). WBE can be used to produce a mission signal that retainsmost of the fatigue damage whilst preserving the cycle sequences. Bumps are identified fromcharacteristics frequency bands by means of the orthogonal wavelet transform based on 12thorder of Daubechies wavelet functions. The bump identification process has been evaluatedby analysing two variable amplitude fatigue loadings with WBE in which both data sets weremeasured on a road vehicle suspension arm. In this study the total damage caused by thecombination of all bump events was close to the original data sets. The findings suggest thatWBE is a suitable approach for mission synthesis applications by producing a shortenedmission signal for accelerated fatigue test