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Bayesian Parameter Estimation

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Identification Methods for Structural Health Monitoring

Part of the book series: CISM International Centre for Mechanical Sciences ((CISM,volume 567))

Abstract

This chapter discusses Bayesian inference as a method for uncertainty quantification (UQ) in parameter estimation problems. The need for an UQ approach is motivated by investigating the deterministic parameter estimation problem; afterward, the specifics of the Bayesian parameter estimation approach are elaborated. The discussion is presented in a general manner, but illustrative examples focus on structural vibration-based parameter estimation.

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Author information

Authors and Affiliations

  1. Civil Engineering Department, KU Leuven, Kasteelpark Arenberg 40, P.O. Box 2448, B-3001, Heverlee, Belgium

    E. Simoen & G. Lombaert

Authors
  1. E. Simoen
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  2. G. Lombaert
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Corresponding authors

Correspondence to E. Simoen or G. Lombaert .

Editor information

Editors and Affiliations

  1. Dept. of Civil, Envi. & GoematicEng., ETH Zürich, Zürich, Switzerland

    Eleni Chatzi

  2. University of Thessaly, Volos, Greece

    Costas Papadimitriou

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© 2016 CISM International Centre for Mechanical Sciences

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Simoen, E., Lombaert, G. (2016). Bayesian Parameter Estimation. In: Chatzi, E., Papadimitriou, C. (eds) Identification Methods for Structural Health Monitoring. CISM International Centre for Mechanical Sciences, vol 567. Springer, Cham. https://doi.org/10.1007/978-3-319-32077-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-32077-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32075-5

  • Online ISBN: 978-3-319-32077-9

  • eBook Packages: EngineeringEngineering (R0)

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