Optimal extraction of structural characteristics from response measurements

An-Chen Lee, Juhn Horng Chen

Research output: Contribution to journalArticle

1 Scopus citations


When random input data are not or cannot be measured, then only the available output data can be fitted to a time domain autoregressive moving-average (ARMA) model. This estimation process always produces a minimum phase system. This means that only the natural frequency and damping ratio of the system can be identified. The mode shape cannot be determined uniquely. A new approach has been introduced in this paper to overcome these problems when a structure is randomly excited. The selection of the sampling interval for estimating the modal parameters from a randomly excited structure subjected to unmeasurable inputs is also considered. The theoretical basis of the procedure is presented together with simulation results.

Original languageEnglish
Pages (from-to)675-683
Number of pages9
JournalJournal of Guidance, Control, and Dynamics
Issue number4
StatePublished - 1 Jan 1990

Fingerprint Dive into the research topics of 'Optimal extraction of structural characteristics from response measurements'. Together they form a unique fingerprint.

  • Cite this