TITLE

A Comparison of Pattern Classification Approaches for Structural Damage Identification

AUTHOR(S)
Zhou Qingqing; Zhou Qifeng; Ning Yongpeng; Yang Fan; Lei Jiayan; Tian Run; Liu Minda
PUB. DATE
April 2012
SOURCE
Journal of Digital Information Management;Apr2012, Vol. 10 Issue 2, p126
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
A structural damage identification approach based on wavelet packet decomposition (WPD) and random forests (RF) was proposed and compared with other pattern classification approachs. The main procedure involves extracting energy features from vibration acceleration data through wavelet packet decomposition and then using these features as input for a RF classifier. The experiment was carried on an 8-storey steel shear building model in the case verification. The results show that the proposed method is effective for structure damage detection and can achieve a higher accuracy than other commonly used methods.
ACCESSION #
75245807

 

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