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Topics in Modal Analysis & Testing, Volume 8 pp 357–364Cite as

Effects of Sensor Count on Damping Estimates from Operational Modal Analysis

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Abstract

For fatigue estimation of many large structures the damping coefficients of the first couple of modes are the most essential. These modes can often be identified, by Operational Modal Analysis (OMA), by using a low number of sensors. However, it is not well known how the number of sensors and their locations are affecting the damping estimates provided from OMA. In this paper it is investigated how the damping estimates from OMA depend on the number of sensors and their locations. In addition, the so-called reference-based OMA methods using quadratic Hankel matrix, where only a few DOFs are used for calculations of the non-parametric functions (e.g. correlation functions), is compared to using the squared (full) Hankel matrix. All the results are presented based on experimental data.

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Author information

Authors and Affiliations

  1. Siemens Gamesa Renewable Energy, Brande, Denmark

    Esben Orlowitz

Authors
  1. Esben Orlowitz
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Editor information

Editors and Affiliations

  1. Mechanical and Materials Engineering, College of Engineering and Applied Sciences, Faculty Advisor, Bearcat Motorsports, University of Cincinnati, Cincinnati, OH, USA

    Michael L. Mains

  2. Lincoln Laboratory, Massachusetts Inst of Technology, Lexington, MA, USA

    Brandon J. Dilworth

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Orlowitz, E. (2020). Effects of Sensor Count on Damping Estimates from Operational Modal Analysis. In: Mains, M.L., Dilworth, B.J. (eds) Topics in Modal Analysis & Testing, Volume 8. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-030-12684-1_39

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  • DOI: https://doi.org/10.1007/978-3-030-12684-1_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12683-4

  • Online ISBN: 978-3-030-12684-1

  • eBook Packages: EngineeringEngineering (R0)

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