The state-of-the-art on time-frequency signal processing techniques for high-resolution representation of nonlinear systems in engineering

C Zhang, AA Mousavi, SF Masri… - Archives of Computational …, 2024 - Springer
One of the serious issues of traditional signal processing techniques in analyzing the
responses of real-life structures is related to the presentation of fundamental information of …

[HTML][HTML] Sensor networks for structures health monitoring: Placement, implementations, and challenges—A review

S Mustapha, Y Lu, CT Ng, P Malinowski - Vibration, 2021 - mdpi.com
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 …

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 …

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 …

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 …

Rolling element bearing fault diagnosis under slow speed operation using wavelet de-noising

C Mishra, AK Samantaray, G Chakraborty - Measurement, 2017 - Elsevier
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 …

Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: A comparative study

A Silik, M Noori, WA Altabey, J Dang… - Structural Health …, 2022 - journals.sagepub.com
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 …

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 …

Liveness is not enough: Enhancing fingerprint authentication with behavioral biometrics to defeat puppet attacks

C Wu, K He, J Chen, Z Zhao, R Du - 29th USENIX Security Symposium …, 2020 - usenix.org
Fingerprint authentication has gained increasing popularity on mobile devices in recent
years. However, it is vulnerable to presentation attacks, which include that an attacker …

[HTML][HTML] Reviews on innovations and applications in structural health monitoring for infrastructures

HN Li, TH Yi, L Ren, DS Li, LS Huo - Structural Monitoring and …, 2014 - koreascience.kr
The developments and implementations of the structural health monitoring (SHM) system for
large infrastructures have been gradually recognized by researchers, engineers and …