Identification of structural parameters based on symbolic time series analysis and differential evolution strategy

Rongshuai Li, Akira Mita, Jin Zhou

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013
DOI
出版ステータスPublished - 2013 6 12
イベント2013 SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013 - San Diego, CA, United States
継続期間: 2013 3 102013 3 14

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
8692
ISSN(印刷版)0277-786X

Other

Other2013 SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013
国/地域United States
CitySan Diego, CA
Period13/3/1013/3/14

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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