RECONSTRUCTION OF SERVICE LOAD HISTORIES WITH TIME-SERIES MODELS FOR RANDOM VIBRATION SIMULATION TESTS

The success of a random vibration simulation test heavily depends on h ow accurately service lends can be reproduced in a laboratory. Many so phisticated and expensive systems have been developed for these kinds of simulation tests. However, because of high cost and complexity, the usage of these systems is limited. In this paper, a new method that r econstructs service load histories using a time series model (autoregr essive moving average (ARMA model) is presented. This method was verif ied by using a road simulation test performed on a four-wheel vehicle. Comparisons between actual and reconstructed signals showed good agre ement in statistical parameters, the cumulative frequency distribution (CFD) and the power spectral density (PSD). Accelerated testing with the ARMA model is also explained. The new method makes it possible to conduct highly accurate random vibration simulation tests at low cost and within a short time, which has great potential to benefit automobi le and aerospace industries.