We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
An Adaptive Filtering Method for Bridge Vibration Signals Based on Improved CEEMDAN and Multi-Scale Permutation Entropy.
- Authors
Dawei He; Boxin Wang; Xin Gao; Xia Wang
- Abstract
Aiming at the serious noise of bridge vibration signals in complex environment, this paper proposed an adaptive filtering and denoising optimization method for bridge structural health monitoring. The method took CEEMDAN algorithm as the core, during the step-by-step decomposition of original signals, white noise with opposite signs was added in each stage, meanwhile multi-scale permutation entropy (MPE) was introduced to analyze the mean entropy of each intrinsic mode function (IMF) at different scales, and components with serious noise were eliminated to complete the first filtering; then, in order to optimize the remaining IMFs for signal reconstruction and ensuring the smoothness and similarity of filtering, an optimized reconstruction model was established to complete the second filtering. Compared with the CEEMDAN method, the proposed method could solve the problems of mode mixing and endpoint effect with good completeness, orthogonality, and signal-to-noise ratio. At last, the advantages and application value of the proposed method were verified again by the vibration signal analysis of a real long-span bridge structure.
- Subjects
BRIDGE vibration; STRUCTURAL health monitoring; SIGNAL denoising; SIGNAL reconstruction; SIGNAL-to-noise ratio
- Publication
Environmental & Earth Sciences Research Journal, 2021, Vol 8, Issue 4, p163
- ISSN
2369-5668
- Publication type
Article
- DOI
10.18280/eesrj.080404