A state space approach to output-only vibro-acoustical modal analysis

We present in this paper the application of the stochastic subspace identification algorithms to the vibro-acoustical modal analysis problem. The equations of motion are first, put into state space from from which all the modal characteristics can be recovered. The approach is illustrated through a Finite Element simulation example and the identification results are compared to those obtained from the FE-model.