Sensor networks for structures health monitoring: Placement, implementations, and challenges—A review
The development of structural health monitoring (SHM) systems and their integration in
actual structures has become a necessity as it can provide a robust and low-cost solution for …
actual structures has become a necessity as it can provide a robust and low-cost solution for …
Review on field monitoring of high‐rise structures
Structural health monitoring (SHM) has been developed and applied to bridge structures
since the early 1980s. Numerous approaches and techniques have been proposed and …
since the early 1980s. Numerous approaches and techniques have been proposed and …
Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings
CA Perez-Ramirez, JP Amezquita-Sanchez… - Engineering …, 2019 - Elsevier
An accurate response prediction model is of great importance in various applications such
as damage detection, structural health monitoring, and vibration control. Development of …
as damage detection, structural health monitoring, and vibration control. Development of …
A novel underwater acoustic signal denoising algorithm for Gaussian/non-Gaussian impulsive noise
J Wang, J Li, S Yan, W Shi, X Yang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Gaussian/non-Gaussian impulsive noises in underwater acoustic (UWA) channel seriously
impact the quality of underwater acoustic communication. The common denoising …
impact the quality of underwater acoustic communication. The common denoising …
Novel wavelet threshold denoising method to highlight the first break of noisy microseismic recordings
H Li, J Shi, L Li, X Tuo, K Qu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We proposed a novel wavelet threshold denoising method based on the discrete wavelet
transform for noisy microseismic recordings. This algorithm can simultaneously suppress …
transform for noisy microseismic recordings. This algorithm can simultaneously suppress …
Rolling element bearing fault diagnosis under slow speed operation using wavelet de-noising
Rolling element bearing is widely used in rotating machines and any bearing defect therein
can severely affect the overall machine performance. Vibration monitoring is often used to …
can severely affect the overall machine performance. Vibration monitoring is often used to …
ECG signal de-noising and baseline wander correction based on CEEMDAN and wavelet threshold
Y Xu, M Luo, T Li, G Song - Sensors, 2017 - mdpi.com
A novel electrocardiogram (ECG) signal de-noising and baseline wander correction method
based on complete ensemble empirical mode decomposition with adaptive noise …
based on complete ensemble empirical mode decomposition with adaptive noise …
Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: A comparative study
A critical problem encountered in structural health monitoring of civil engineering structures,
and other structures such as mechanical or aircraft structures, is how to convincingly analyze …
and other structures such as mechanical or aircraft structures, is how to convincingly analyze …
[PDF][PDF] Reviews on innovations and applications in structural health monitoring for infrastructures
The developments and implementations of the structural health monitoring (SHM) system for
large infrastructures have been gradually recognized by researchers, engineers and …
large infrastructures have been gradually recognized by researchers, engineers and …
Application of Hilbert‐Huang Transform in Structural Health Monitoring: A State‐of‐the‐Art Review
B Chen, S Zhao, P Li - Mathematical Problems in Engineering, 2014 - Wiley Online Library
This paper reviews the development and application of HHT in the field of SHM in the last
two decades. The challenges and future trends in the development of HHT based …
two decades. The challenges and future trends in the development of HHT based …