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Cluster Computing
Published in: Cluster Computing 2/2019

08-03-2018

Improved eigensystem realization algorithm and its application on ocean platforms

Authors: Junfeng Xin, Wang Lei, Li Shixin, Zhang Yongbo

Published in: Cluster Computing | Special Issue 2/2019

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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.
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Literature
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Metadata
Title
Improved eigensystem realization algorithm and its application on ocean platforms
Authors
Junfeng Xin
Wang Lei
Li Shixin
Zhang Yongbo
Publication date
08-03-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2213-0

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