Frequency-Domain TLS and GTLS Algorithms for Modal Analysis Applications

Peter Verboven (), Patrick Guillaume () and Eli Parloo
Additional contact information
Peter Verboven: Vrije Universiteit Brussel, Mechanical Engineering department (TW-WERK)
Patrick Guillaume: Vrije Universiteit Brussel, Mechanical Engineering department (TW-WERK)
Eli Parloo: Vrije Universiteit Brussel, Mechanical Engineering department (TW-WERK)

A chapter in Total Least Squares and Errors-in-Variables Modeling, 2002, pp 305-318 from Springer

Abstract: Abstract This contribution focuses on the area of modal analysis and studies the applicability of Total Least Squares algorithms for the estimation of modal parameters in the frequency domain from Input-Output Fourier data. These algorithms provide an alternative for the frequency response function based estimators, especially in the case that the measurement data is characterized by low signal-to-noise ratios, short data sequences and leakage. In this paper it is shown how frequency-domain TLS and GTLS estimators can be numerically optimized to handle large amounts of modal data. Using an errors-in-variables noise model, a linear approximation is necessary in order to obtain a fast implementation of the GTLS algorithm. The validity of this approximation is a function of the signal-to-noise ratio of the input Fourier data and is evaluated by means of Monte Carlo simulations and experimental data.

Keywords: modal analysis; generalized TLS; system identification. (search for similar items in EconPapers)
Date: 2002
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-017-3552-0_27

Ordering information: This item can be ordered from
http://www.springer.com/9789401735520

DOI: 10.1007/978-94-017-3552-0_27

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().