Uncertainty quantification for stochastic subspace identification on multi-setup measurements

摘要: In Operational Modal Analysis, the modal parameters (natural frequencies, damping ratios and mode shapes), obtained from Stochastic System Identification of structures, are subject to statistical uncertainty ambient vibration measurements. It is hence necessary evaluate bounds these results. To obtain measurements at many coordinates a structure with only few sensors, it common practice use multiple sensor setups for Recently, multi-setup subspace identification algorithm has been proposed that merges data different first one set global parameters. This paper proposes an efficiently estimates on this identification.