Adaptive decomposition and reconstruction for bridge structural dynamic testing signals

被引：0

作者：

Shan, De-Shan ^{[1
]}

Li, Qiao ^{[1
]}

Huang, Zhen ^{[1
]}

机构：

[1] Bridge Engineering Department, Southwest Jiaotong University, Chengdu

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2015年 / 34卷 / 03期

关键词：

Bridge; Dynamic test; Ensemble empirical mode decomposition (EEMD); Signal decomposition; Signal reconstruction;

D O I：

10.13465/j.cnki.jvs.2015.03.001

中图分类号：

学科分类号：

摘要：

In order to extract structural information from bridge structural dynamic signals with high noise level, a novel adaptive decomposition and reconstruction method was proposed by combining the ensemble empirical mode decomposition (EEMD) method and the principal component analysis (PCA) method for the specific characteristics of bridge structural dynamic signals. Based on the in-depth analysis of mode mixing in results of empirical mode decomposition, the uniformity of probability density function of white noise was adopted to improve the pattern I of mode mixing, and the correlation analysis was used to ameliorate the pattern II of mode mixing, then the calculation efficiency and decomposition accuracy were upgraded greatly for the improved EEMD. The multi-scale principal components analysis was implemented for all of the intrinsic mode functions (IMFs) obtained with the improved EEMD to reduce noise and select IMFs. Moreover, the dynamic signals were reconstructed. The effectiveness of the proposed method was verified with both the simulated signals and testing signals from real bridge structures. The results showed that the proposed method can be used to decompose adaptively and denoise effectively the bridge dynamic signals with high noise, and extract accurately the structural information from the testing signals, furthermore, it is applicable for the dynamic testing analysis of real bridge structures. ©, 2015, Chinese Vibration Engineering Society. All right reserved.

引用

页码：1 / 6and13

页数：612

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