A modal‐based Kalman filtering framework for mode extraction and decomposition of damped structures
Author:
Affiliation:
1. School of Architecture Chonnam National University Gwangju South Korea
2. NatHaz Modeling Laboratory University of Notre Dame Notre Dame Indiana USA
3. Center for Research Computing (CRC) University of Notre Dame Notre Dame Indiana USA
Funder
National Research Foundation of Korea
National Science Foundation
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering,Building and Construction
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12963
Reference53 articles.
1. A novel methodology for modal parameters identification of large smart structures using MUSIC, empirical wavelet transform, and Hilbert transform
2. A study and extension of second-order blind source separation to operational modal analysis
3. A blind source separation technique using second-order statistics
4. Brincker R. Zhang L. &Andersen P.(2000).Modal identification of output‐only systems using frequency domain decomposition.Proceedings of the European COST F3 Conference on System Identification & Structural Health Monitoring Madrid Spain(pp. 273–282).
5. Observer Kalman Filter Identification for Output-Only Systems Using Interactive Structural Modal Identification Toolsuite
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