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Applying Haar Wavelets in Damage Detection Using Machine Learning Methods

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Haar Wavelets

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Abstract

The basic idea of the present Chapter is to establish directly an input-output relationship between the modal responses and the delamination locations/sizes using back-propagation neural networks.

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Authors and Affiliations

  1. Institute of Mathematics, University of Tartu, Tartu, Estonia

    Ülo Lepik

  2. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Helle Hein

Authors
  1. Ülo Lepik
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  2. Helle Hein
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Correspondence to Ülo Lepik .

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Lepik, Ü., Hein, H. (2014). Applying Haar Wavelets in Damage Detection Using Machine Learning Methods. In: Haar Wavelets. Mathematical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-04295-4_14

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  • DOI: https://doi.org/10.1007/978-3-319-04295-4_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04294-7

  • Online ISBN: 978-3-319-04295-4

  • eBook Packages: EngineeringEngineering (R0)

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