Structure damage prediction of the composite material based on EMD

Aiming to the characteristics of gradual changes of the structural damage of the composite material, a prediction method on this is proposed based on Experience Modal Decomposition (EMD) and Least Squares Support Vector Machines(LS-SVM)) First, collect the information on what kind of status which the composite material is staying at through by the advanced sensors. Then, extract the status features by using EMD and define the Composite Structural Damage index(SDI) according to the distance and shape similarity. Finally, use LS-SVM to predict structural damage index in order to obtain more information on future damage degree. The experimental results show that the approach is not only workable but also has higher predictive accuracy.