15 April 2011 Evaluating the performance of distributed approaches for modal identification
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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, Sriram S. Krishnan, Zhuoxiong Sun, Zhuoxiong Sun, Ayhan Irfanoglu, Ayhan Irfanoglu, Shirley J. Dyke, Shirley J. Dyke, Guirong Yan, 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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