DATA-FUSION DAMAGE IDENTIFICATION METHOD BASED ON WAVELET PACKET DECOMPOSITION AND WEIGHTED-AVERAGE
In order to make full use of the redundant and noise data from the multi-resources,enhance the identification accuracy of structural damage. A new damage identification method is proposed which is making full use of good time-frequency characteristic of the wavelet packet and data fusion. In this method, the response signal is first decomposed so as to extract feature parameters by wavelet packet. Then different feature vectors are employed to identify the structural damage patterns by Euclidean distance. Finally, weighted-average is employed to fuze the different identification results. 6 damage patterns of a 7-story steel structure are presented to validate this method. The result shows that this proposed method can enhance the identification accuracy greatly.
Wavelet packet analysis Feature vector Damage identification Euclid-distance Data fusion
Shao-Fei Jiang Yun-Liang Xu
College of Civil Engineering, Fuzhou University, Fuzhou 350002, P.R.China School of Civil Engineering, Shenyang Jianzhu University, Shenyang 110168, P.R.China
国际会议
第十届国际结构工程青年学者研讨会(The Tenth International Symposium on Structural Engineering for Young Experts)
长沙
英文
1574-1578
2008-10-19（万方平台首次上网日期，不代表论文的发表时间）