Structure damage detection based on random forest recursive feature elimination
A two-stage feature selection method in structural damage detection is proposed. RFRFE can select most important damage features. Not all the WPD features are beneficial for the damage detection. Using RFRFE can get better performance than RFVIA. Using the fewer features selected from higher-level WPD can achieve better performance than using all lower-level WPD features.
damage detection random forest recursive feature elimination wavelet packet decomposition