Operational Modal Analysis of Rotating Machinery

Szymon Gres, Palle Andersen, Lars Damkilde

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Resumé

Harmonic excitation of structures caused by rotating equipment is a problem faced by many engineers in the field of Operational Modal Analysis (OMA). Several methods to discard the influence of harmonic inputs over systems natural responses has been proposed in the literature and implemented in various software solutions. This paper recalls some of the most used techniques and uses a new time domain method for removing harmonics from measurements. Deployed method does not rely on filtering, statistical detection nor on non-linear fitting. Instead, it predicts the harmonic part of the time series and deploys an orthogonal projection of the latter onto the raw measurements to remove the harmonic part of the signal. The new technique is a part of an semi-automated framework for OMA of structures contaminated with harmonics, whose flow is presented in this paper. The merit of the framework is discussed in the context of OMA of a full scale operating ship with rotating machinery on-board.
OriginalsprogEngelsk
TitelRotating Machinery, Vibro-Acoustics & Laser Vibrometry : Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018
RedaktørerDario Di Maio
Vol/bind7
ForlagSpringer
Publikationsdato2019
Sider67-75
ISBN (Trykt)978-3-319-74692-0
ISBN (Elektronisk)978-3-319-74693-7
DOI
StatusUdgivet - 2019
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
ISSN2191-5644

Fingerprint

Rotating machinery
Modal analysis
Time series
Ships
Engineers

Emneord

  • Operational modal analysis
  • Rotating machinery
  • Harmonic removal
  • Harmonic detection
  • Stochastic subspace identification

Citer dette

Gres, S., Andersen, P., & Damkilde, L. (2019). Operational Modal Analysis of Rotating Machinery. I D. D. Maio (red.), Rotating Machinery, Vibro-Acoustics & Laser Vibrometry: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018 (Bind 7, s. 67-75). Springer. Conference Proceedings of the Society for Experimental Mechanics Series https://doi.org/10.1007/978-3-319-74693-7_7
Gres, Szymon ; Andersen, Palle ; Damkilde, Lars. / Operational Modal Analysis of Rotating Machinery. Rotating Machinery, Vibro-Acoustics & Laser Vibrometry: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018. red. / Dario Di Maio. Bind 7 Springer, 2019. s. 67-75 (Conference Proceedings of the Society for Experimental Mechanics Series).
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title = "Operational Modal Analysis of Rotating Machinery",
abstract = "Harmonic excitation of structures caused by rotating equipment is a problem faced by many engineers in the field of Operational Modal Analysis (OMA). Several methods to discard the influence of harmonic inputs over systems natural responses has been proposed in the literature and implemented in various software solutions. This paper recalls some of the most used techniques and uses a new time domain method for removing harmonics from measurements. Deployed method does not rely on filtering, statistical detection nor on non-linear fitting. Instead, it predicts the harmonic part of the time series and deploys an orthogonal projection of the latter onto the raw measurements to remove the harmonic part of the signal. The new technique is a part of an semi-automated framework for OMA of structures contaminated with harmonics, whose flow is presented in this paper. The merit of the framework is discussed in the context of OMA of a full scale operating ship with rotating machinery on-board.",
keywords = "Operational modal analysis, Rotating machinery, Harmonic removal, Harmonic detection, Stochastic subspace identification, Operational modal analysis, Rotating machinery, Harmonic removal, Harmonic detection, Stochastic subspace identification",
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Gres, S, Andersen, P & Damkilde, L 2019, Operational Modal Analysis of Rotating Machinery. i DD Maio (red.), Rotating Machinery, Vibro-Acoustics & Laser Vibrometry: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018. bind 7, Springer, Conference Proceedings of the Society for Experimental Mechanics Series, s. 67-75, Orlando, USA, 12/02/2018. https://doi.org/10.1007/978-3-319-74693-7_7

Operational Modal Analysis of Rotating Machinery. / Gres, Szymon; Andersen, Palle; Damkilde, Lars.

Rotating Machinery, Vibro-Acoustics & Laser Vibrometry: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018. red. / Dario Di Maio. Bind 7 Springer, 2019. s. 67-75 (Conference Proceedings of the Society for Experimental Mechanics Series).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Operational Modal Analysis of Rotating Machinery

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N2 - Harmonic excitation of structures caused by rotating equipment is a problem faced by many engineers in the field of Operational Modal Analysis (OMA). Several methods to discard the influence of harmonic inputs over systems natural responses has been proposed in the literature and implemented in various software solutions. This paper recalls some of the most used techniques and uses a new time domain method for removing harmonics from measurements. Deployed method does not rely on filtering, statistical detection nor on non-linear fitting. Instead, it predicts the harmonic part of the time series and deploys an orthogonal projection of the latter onto the raw measurements to remove the harmonic part of the signal. The new technique is a part of an semi-automated framework for OMA of structures contaminated with harmonics, whose flow is presented in this paper. The merit of the framework is discussed in the context of OMA of a full scale operating ship with rotating machinery on-board.

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KW - Harmonic detection

KW - Stochastic subspace identification

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Gres S, Andersen P, Damkilde L. Operational Modal Analysis of Rotating Machinery. I Maio DD, red., Rotating Machinery, Vibro-Acoustics & Laser Vibrometry: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018. Bind 7. Springer. 2019. s. 67-75. (Conference Proceedings of the Society for Experimental Mechanics Series). https://doi.org/10.1007/978-3-319-74693-7_7