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Characterization of finite measured signals is a great of importance in dynamical modeling and system identification. This  paper addresses an approach for characterization of measured random vibration signals where the approach rests on a method  called empirical mode decomposition (EMD). The applicability of proposed approach is tested in one numerical and  experimental data from a structural system, namely spar platform. The results are three main signal components, comprising:  noise embedded in the measured signal as the first component, first intrinsic mode function (IMF) called as the wave frequency  response (WFR) as the second component and second IMF called as the low frequency response (LFR) as the third component  while the residue is the trend. Band-pass filter (BPF) method is taken as benchmark for the results obtained from EMD method.

Application of empirical mode decomposition method for characterization of random vibration signals