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Improved eigensystem realization algorithm and its application on ocean platforms

  • Junfeng Xin*
  • , Wang Lei
  • , Li Shixin
  • , Zhang Yongbo
  • *Corresponding author for this work
  • Qingdao University of Science and Technology
  • Ocean University of China
  • Qingdao National Oceanographic Center

Research output: Contribution to journalArticlepeer-review

Abstract

Based on the matrix mapping theory, an improved eigensystem realization algorithm (ERA), called C/ERA, is proposed in this paper. It rebuilds a Hankel matrix by replacing all elements of each anti-subdiagonal with the arithmetic average of the elements along the anti-subdiagonal, and introduces the concept of using the Frobenius norm (L2-norm) to control the iterations number after implementing the SVD algorithm by the ERA method. With the data associated with a 5-DOF mass-spring-dashpot system and jacket-type platform under impact loading, it is demonstrated that C/ERA has a better capacity of de-noising, and a higher accuracy for low-order modes, and can identify more high-order modes than the ERA method.

Original languageEnglish
Pages (from-to)3643-3650
Number of pages8
JournalCluster Computing
Volume22
DOIs
StatePublished - 1 Mar 2019
Externally publishedYes

Keywords

  • C/ERA
  • De-noising
  • Modal parameter identification

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