Empirical mode decomposition and its variants: A review with applications in structural health monitoring

M Barbosh, P Singh, A Sadhu - Smart Materials and Structures, 2020 - iopscience.iop.org
Structural health monitoring (SHM) is one of the most emerging approaches for early
damage detection, which leads to improved safety and efficient maintenance of large-scale …

Modal Identification Techniques for Concrete Dams: A Comprehensive Review and Application.

H Mostafaei - Sci, 2024 - search.ebscohost.com
Throughout history, the implementation of structural health monitoring systems has played a
crucial role in evaluating the responses of dams to environmental and human-induced …

An EEMD‐Based Denoising Method for Seismic Signal of High Arch Dam Combining Wavelet with Singular Spectrum Analysis

B Li, L Zhang, Q Zhang, S Yang - Shock and Vibration, 2019 - Wiley Online Library
Due to complicated noise interference, seismic signals of high arch dam are of
nonstationarity and a low signal‐to‐noise ratio (SNR) during acquisition process. The …

EMD-based time–frequency denoising algorithm for the self-sensing of vibration signals in ultrasonic-assisted grinding

J Zhang, H Sang, S Zhao - Measurement Science and …, 2022 - iopscience.iop.org
An empirical mode decomposition (EMD)-based time–frequency denoising algorithm is
derived in this paper to accomplish the extraction of active ingredients for multi-frequency …

Operation feature extraction of flood discharge structure based on improved variational mode decomposition and variance dedication rate

J Zhang, G Hou, H Wang, Y Zhao… - Journal of vibration …, 2020 - journals.sagepub.com
Operation feature extraction of flood discharge structures under ambient excitation has
attracted increasing attention in recent years. However, the vibration signal of flood …

A SVD-based signal de-noising method with fitting threshold for EMAT

B Lei, P Yi, J Xiang, W Xu - IEEE access, 2021 - ieeexplore.ieee.org
The electromagnetic acoustic transducer (EMAT) is a powerful and useful non-destructive
testing technology for structural health monitoring. However, EMAT has an issue of low …

From data processing to behavior monitoring: A comprehensive overview of dam health monitoring technology

Z Deng, Q Gao, M Huang, N Wan, J Zhang, Z He - Structures, 2025 - Elsevier
Updating and improving the dam health monitoring (DHM) system contributes to a more
comprehensive and timely understanding of the structural health status of dams, providing …

An improved denoise method based on EEMD and optimal wavelet threshold for model building of OPAX

K Chen, X Zhang, Y Liu, J Ma - Proceedings of the Institution …, 2021 - journals.sagepub.com
To improve the accuracy of Operational Path Analysis with Exogeneous Inputs (OPAX)
model by excluding the noise interference sufficiently in the vehicle operating condition data …

Operation conditions monitoring of flood discharge structure based on variance dedication rate and permutation entropy

J Zhang, G Hou, K Cao, B Ma - Nonlinear Dynamics, 2018 - Springer
There has been a growing concern on how to monitor the operation conditions of flood
discharge structure in recent decades. However, the online monitoring process is always …

Recognition and prediction of ground vibration signal based on machine learning algorithm

Z Zhong, H Li - Neural Computing and Applications, 2020 - Springer
Accurate recognition of the type of ground motion is a basic task in the field of seismic
engineering. In this paper, the key technologies of detection and recognition of underground …