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Proceedings Paper

Identification of structural parameters based on symbolic time series analysis and differential evolution strategy
Author(s): Rongshuai Li; Akira Mita; Jin Zhou
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Paper Abstract

A novel symbolization strategy, "dynamic" strategy, of symbolization state series analysis (STSA) is employed in symbolization-based differential evolution strategy (SDES) to alleviate the effects of harmful noise. Procedure of "dynamic" strategy is described, effect of parameters in "dynamic" is verified, cases of partial output are considered. Performance of the proposed methodology was numerically compared with other symbolization strategies. Particle swarm optimization (PSO) and differential evolution (DE) on raw acceleration data are used as comparison to show the good noise immunity of our proposed methodology. These simulations revealed that our proposed methodology is a powerful tool for identifying the unknown parameters of structural systems even when the data is contaminated with relatively large amounts of noise.

Paper Details

Date Published: 19 April 2013
PDF: 11 pages
Proc. SPIE 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013, 86923F (19 April 2013); doi: 10.1117/12.1000146
Show Author Affiliations
Rongshuai Li, Keio Univ. (Japan)
Akira Mita, Keio Univ. (Japan)
Jin Zhou, Keio Univ. (Japan)


Published in SPIE Proceedings Vol. 8692:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013
Jerome Peter Lynch; Chung-Bang Yun; Kon-Well Wang, Editor(s)

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