Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceeding

Abstract

A presence of a high amplitude periodic signals in the output responses from operating structures often pose a challenge for output-only system identification and, in case of health monitoring, damage detection/localization methods. This paper introduces a pre-processing approach that removes the harmonic part from the output signals directly in the time domain. The new method uses orthogonal projections of the harmonic realization of the signal onto the raw time series within the stochastic subspace framework. Proposed algorithm is tested on two experimental examples. First, an aluminum plate excited with both random white and periodic excitations. Second, a full-scale industrial case of a ferry excited by a random environmental load with harmonic interference from a rotating machinery on-board. In both cases the proposed method removes the harmonics from the structural responses while leaving the random part of the output signal.
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Detaljer

A presence of a high amplitude periodic signals in the output responses from operating structures often pose a challenge for output-only system identification and, in case of health monitoring, damage detection/localization methods. This paper introduces a pre-processing approach that removes the harmonic part from the output signals directly in the time domain. The new method uses orthogonal projections of the harmonic realization of the signal onto the raw time series within the stochastic subspace framework. Proposed algorithm is tested on two experimental examples. First, an aluminum plate excited with both random white and periodic excitations. Second, a full-scale industrial case of a ferry excited by a random environmental load with harmonic interference from a rotating machinery on-board. In both cases the proposed method removes the harmonics from the structural responses while leaving the random part of the output signal.
OriginalsprogEngelsk
TitelStructural Health Monitoring, Photogrammetry & DIC : Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018
RedaktørerChristopher Niezrecki, Javad Baqersad
Volume/Bind6
ForlagSpringer
Publikationsdato2019
Sider9-21
Kapitel2
ISBN (Trykt)978-3-319-74475-9
ISBN (Elektronisk)978-3-319-74476-6
DOI
StatusE-pub ahead of print - 2019
PublikationsartForskning
Peer reviewJa
BegivenhedIMAC XXXVI, A Conference and Exposition on Structural Dynamics 2018 - Orlando, USA
Varighed: 12 feb. 201815 feb. 2018
Konferencens nummer: 36

Konference

KonferenceIMAC XXXVI, A Conference and Exposition on Structural Dynamics 2018
Nummer36
LandUSA
ByOrlando
Periode12/02/201815/02/2018
NavnConference Proceedings of the Society for Experimental Mechanics Series
Volume/Bind6
ISSN2191-5644

    Forskningsområder

  • Operational modal analysis, Stochastic subspace identification, Rotating machinery, Harmonic removal, Non-stationary harmonics

Kort

ID: 280603251