Operational Modal Analysis of Rotating Machinery

Szymon Gres, Palle Andersen, Lars Damkilde

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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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.
Original languageEnglish
Title of host publicationRotating Machinery, Vibro-Acoustics & Laser Vibrometry : Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018
EditorsDario Di Maio
Number of pages9
Volume7
PublisherSpringer
Publication date2019
Pages67-75
ISBN (Print)978-3-319-74692-0
ISBN (Electronic)978-3-319-74693-7
DOIs
Publication statusPublished - 2019
EventIMAC XXXVI, A Conference and Exposition on Structural Dynamics 2018 - Orlando, United States
Duration: 12 Feb 201815 Feb 2018
Conference number: 36

Conference

ConferenceIMAC XXXVI, A Conference and Exposition on Structural Dynamics 2018
Number36
CountryUnited States
CityOrlando
Period12/02/201815/02/2018
SeriesConference Proceedings of the Society for Experimental Mechanics Series
ISSN2191-5644

Keywords

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

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