Delamination identification using machine learning methods and Haar wavelets

  • Ljubov Feklistova
  • Helle Hein

Abstract

The present paper focuses on the identification of delamination size and location in homogeneous and composite laminates. The modal analysis methods are employed to calculate the data patterns. An aggregated approach combining Haar wavelets, support vector machines (SVMs) and artificial neural networks (ANNs) is used to solve identification problems. The usability and effectiveness of the proposed technique are tested by several numerical experiments. The advantages of the proposed method lie in the ability to make fast and accurate calculations.

Keywords

delamination identification, free vibrations, Euler-Bernoulli beam theory, Haar wavelets, ma- chine learning methods,

References

Published
Jan 25, 2017
How to Cite
FEKLISTOVA, Ljubov; HEIN, Helle. Delamination identification using machine learning methods and Haar wavelets. Computer Assisted Methods in Engineering and Science, [S.l.], v. 19, n. 4, p. 351-360, jan. 2017. ISSN 2299-3649. Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/85>. Date accessed: 26 jan. 2022.
Section
Articles