Automated Modal Parameter Estimation for Operational Modal Analysis of Large Systems

Palle Andersen; Rune Brincker; Maurice Goursat; Laurent Mevel

Automated Modal Parameter Estimation for Operational Modal Analysis of Large Systems

Palle Andersen, Rune Brincker, Maurice Goursat, Laurent Mevel

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

49 Citationer (Scopus)

1324 Downloads (Pure)

Abstract

In this paper the problems of doing automatic modal parameter extraction and how to account for large number of data to process are considered. Two different approaches for obtaining the modal parameters automatically using OMA are presented: The Frequency Domain Decomposition (FDD) technique and a correlation-driven Stochastic Subspace Identification (SSI) technique. Special attention is given to the problem of data reduction, where many sensors are available. Finally, the techniques are demonstrated on real data.

Originalsprog	Engelsk
Titel	Proceedings of the 2nd International Operational Modal Analysis Conference
Redaktører	Rune Brincker, Nis Møller
Antal sider	10
Vol/bind	Vol. 1
Publikationsdato	2007
Sider	299-308
Status	Udgivet - 2007
Begivenhed	International Operational Modal Analysis Conference (IOMAC) - Copenhagen, Danmark Varighed: 30 apr. 2007 → 2 maj 2007 Konferencens nummer: 2

Konference

Konference	International Operational Modal Analysis Conference (IOMAC)
Nummer	2
Land/Område	Danmark
By	Copenhagen
Periode	30/04/2007 → 02/05/2007

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@inproceedings{c64553b01d9f11dca5a4000ea68e967b,

title = "Automated Modal Parameter Estimation for Operational Modal Analysis of Large Systems",

abstract = "In this paper the problems of doing automatic modal parameter extraction and how to account for large number of data to process are considered. Two different approaches for obtaining the modal parameters automatically using OMA are presented: The Frequency Domain Decomposition (FDD) technique and a correlation-driven Stochastic Subspace Identification (SSI) technique. Special attention is given to the problem of data reduction, where many sensors are available. Finally, the techniques are demonstrated on real data.",

author = "Palle Andersen and Rune Brincker and Maurice Goursat and Laurent Mevel",

year = "2007",

language = "English",

volume = "Vol. 1",

pages = "299--308",

editor = "Rune Brincker and Nis M{\o}ller",

booktitle = "Proceedings of the 2nd International Operational Modal Analysis Conference",

note = "International Operational Modal Analysis Conference (IOMAC) ; Conference date: 30-04-2007 Through 02-05-2007",

}

Automated Modal Parameter Estimation for Operational Modal Analysis of Large Systems. / Andersen, Palle; Brincker, Rune; Goursat, Maurice et al.
Proceedings of the 2nd International Operational Modal Analysis Conference. red. / Rune Brincker; Nis Møller. Bind Vol. 1 2007. s. 299-308.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Automated Modal Parameter Estimation for Operational Modal Analysis of Large Systems

AU - Andersen, Palle

AU - Brincker, Rune

AU - Goursat, Maurice

AU - Mevel, Laurent

N1 - Conference code: 2

PY - 2007

Y1 - 2007

N2 - In this paper the problems of doing automatic modal parameter extraction and how to account for large number of data to process are considered. Two different approaches for obtaining the modal parameters automatically using OMA are presented: The Frequency Domain Decomposition (FDD) technique and a correlation-driven Stochastic Subspace Identification (SSI) technique. Special attention is given to the problem of data reduction, where many sensors are available. Finally, the techniques are demonstrated on real data.

AB - In this paper the problems of doing automatic modal parameter extraction and how to account for large number of data to process are considered. Two different approaches for obtaining the modal parameters automatically using OMA are presented: The Frequency Domain Decomposition (FDD) technique and a correlation-driven Stochastic Subspace Identification (SSI) technique. Special attention is given to the problem of data reduction, where many sensors are available. Finally, the techniques are demonstrated on real data.

M3 - Article in proceeding

VL - Vol. 1

SP - 299

EP - 308

BT - Proceedings of the 2nd International Operational Modal Analysis Conference

A2 - Brincker, Rune

A2 - Møller, Nis

T2 - International Operational Modal Analysis Conference (IOMAC)

Y2 - 30 April 2007 through 2 May 2007

ER -

Automated Modal Parameter Estimation for Operational Modal Analysis of Large Systems

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