Delamination identification using machine learning methods and Haar wavelets

• Autorzy: Feklistova L. , Hein H.
• Języki publikacji: EN

Abstrakty

EN

The present paper focuses on the identification of delamination size and location in homogeneous and composite laminates. The modal analysis methods are employ ed to calculate the data patterns. An aggregated approach combining Haar wavelets, support vector mac hines (SVMs) and artificial neural networks (ANNs) is used to solve identification problems. The usabili ty 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.

Słowa kluczowe

EN

delamination identification; free vibrations; Euler-Bernoulli beam theory; Haar wavelets; machine learning methods

PL

rozwarstwienie; drgania; falki Haara

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2012
• Tom: Vol. 19, no. 4
• Strony: 351--360
• Opis fizyczny: Bibliogr. 25 poz., rys., tab., wykr.

Twórcy

autor

Feklistova L.

autor

Hein H.

• Institute of Computer Science University of Tartu, Liivi 2, 50409 Tartu, Estonia,

Bibliografia

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