Paper Title:
An Extraction Method for Live-Load Effect of Bridge Based on EEMD
  Abstract

Bridge plays an important role in modern transportation. Once it is damaged, there will be great loss. So assessment of bridge state has become more and more important in modern society. Ambient around bridge always are very complex and bridge is affected by many factors. So in all response of bridge, noise and useful signals mixed together. The noise generally includes temperature effect, wind load effect, live-load effect, and so on. In order to get the useful signals we must separate the live-load effect from the total effect by using multi-scale analysis firstly. EMD brought a new method for multi-scale analysis and it is superior to wavelet to some extent. But it has some shortcomings also. In order to improve the performance of the EMD further, EEMD is introduced to extract live-load effect of bridge. The practical and simulation results verified the feasibility of the new method based on EEMD and the results is much better than those based on wavelet.

  Info
Periodical
Chapter
Chapter 5: Road and Bridge Engineering
Edited by
Paul P. Lin and Chunliang Zhang
Pages
1144-1148
DOI
10.4028/www.scientific.net/AMM.105-107.1144
Citation
J. Wu, W. M. Chen, "An Extraction Method for Live-Load Effect of Bridge Based on EEMD", Applied Mechanics and Materials, Vols. 105-107, pp. 1144-1148, 2012
Online since
September 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Jian Zhang, Ru Qiang Yan, Robert X. Gao
Abstract:Ensemble Empirical Mode Decomposition (EEMD) is a new signal processing technique aimed at solving the problem of mode mixing present in the...
167
Authors: Dong Yang, Wei Xin Ren, Xiang Xiao
Abstract:For structure dynamic signals with low signal to noise ratio (SNR), Multi-scale EMD is proposed to extract useful information from signals...
2611
Authors: Wen Hua Han, Hai Xia Ren, Xu Chen, Xiao Juan Tao
Chapter 9: Power Electronics and Power Drives
Abstract:Hilbert-Huang transform (HHT) is a new time-frequency-domain analysis method, which is suitable for non-stationary and nonlinear signals. In...
1406
Authors: Jin Xia Zeng, Guo Fu Wang, Fa Quan Zhang, Jin Cai Ye
Chapter 4: Mechanical Control and Embedded System
Abstract:A new de-noising algorithm based on Intrinsic Time-scale Decomposition (ITD) is proposed after analyzing the statistical characteristics of...
347
Authors: Xian You Zhong, Chun Hua Zhao, Hai Jiang Dong, Xian Ming Liu, Liang Cai Zeng
Chapter 4: Sensors, Measurement, Monitoring and Detection
Abstract:An approach of fault diagnosis of bearing based on empirical mode decomposition (EMD), sample entropy and 1.5 dimension spectrum was...
1027