Identification of modal parameters from ambient vibration data by modified eigensystem realization algorithm

Dar-Yun Chiang, Chang Sheng Lin, Fang He Su

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In the present paper, we propose a modification to the Eigen system Realization Algorithm with Data Correlation (ERA/DC) for modal-parameter identification of structural systems subjected to stationary white-noise ambient vibration. By setting up a correlation-function matrix of stationary responses and introducing an appropriate factorization of the matrix, modal parameters of a system could then be effectively identified through the singular-value decomposition and eigenvalue analysis. Through numerical simulations, effectiveness and robustness of the proposed identification method is demonstrated.

Original languageEnglish
Pages (from-to)79-86
Number of pages8
JournalJournal of Aeronautics, Astronautics and Aviation
Volume42
Issue number2
Publication statusPublished - 2010 Jan 1

Fingerprint

vibration
data correlation
parameter identification
matrix
identification method
white noise
eigenvalue
Singular value decomposition
White noise
matrices
Factorization
factorization
Identification (control systems)
eigenvalues
decomposition
Computer simulation
simulation
parameter
analysis

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

Cite this

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Identification of modal parameters from ambient vibration data by modified eigensystem realization algorithm. / Chiang, Dar-Yun; Lin, Chang Sheng; Su, Fang He.

In: Journal of Aeronautics, Astronautics and Aviation, Vol. 42, No. 2, 01.01.2010, p. 79-86.

Research output: Contribution to journalArticle

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