Time Domain Identification Methods for Experimental Modal Analysis
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Resource Overview
A time domain identification approach for experimental modal analysis that extracts modal parameters including natural frequencies, damping ratios, and mode shape coefficients from signal data.
Detailed Documentation
Time domain identification methods for experimental modal analysis represent techniques that extract modal parameters—including natural frequencies, damping ratios, and mode shape coefficients—directly from signal data. These methods enable detailed characterization of signal properties and dynamic behavior, facilitating more comprehensive understanding and analysis of experimental data. Implementation typically involves algorithms like the Ibrahim Time Domain (ITD) method or Eigensystem Realization Algorithm (ERA), which utilize signal response histories to construct system matrices and perform eigenvalue decomposition for parameter identification.
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