A comparison of pattern classification approaches for structural damage identification

TitleA comparison of pattern classification approaches for structural damage identification
Publication TypeJournal Article
Year of Publication2012
AuthorsQingqing, Z, Qifeng, Z, Yongpeng, N, Fan, Y, Jiayan, L, Run, T, Minda, L
JournalJournal of Digital Information Management
Volume10
Issue2
Pagination126 - 130
Date Published2012
KeywordsExtraction algorithms, Pattern matching, Sensor identificaiton, Wavelet packet decomposition
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.

URLhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84866443034&partnerID=40&md5=17335eb07404e2de90828f9bb812e1da

Collaborative Partner

Institute of Electronic and Information Technology (IEIT)

Collaborative Partner

Collaborative Partner