A data reduction and analysis technique is presented for describing a multivariate nonstationary random process, representing a multiaxial stress distribution, by stationary techniques. An accurate simulation of this stress environment is achieved in the laboratory by using an iterative “deconvolution” technique to derive a series of excitation signals that will be used for fatigue testing.