15 April 2011 Evaluating the performance of distributed approaches for modal identification
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Abstract
In this paper two modal identification approaches appropriate for use in a distributed computing environment are applied to a full-scale, complex structure. The natural excitation technique (NExT) is used in conjunction with a condensed eigensystem realization algorithm (ERA), and the frequency domain decomposition with peak-picking (FDD-PP) are both applied to sensor data acquired from a 57.5-ft, 10 bay highway sign truss structure. Monte-Carlo simulations are performed on a numerical example to investigate the statistical properties and sensitivity to noise of the two distributed algorithms. Experimental results are provided and discussed.
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Sriram S. Krishnan, Zhuoxiong Sun, Ayhan Irfanoglu, Shirley J. Dyke, Guirong Yan, "Evaluating the performance of distributed approaches for modal identification", Proc. SPIE 7981, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011, 79814M (15 April 2011); doi: 10.1117/12.882143; https://doi.org/10.1117/12.882143
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