Compatibility and challenges in machine learning approach for structural crack assessment

I Omar, M Khan, A Starr - Structural Health Monitoring, 2022 - journals.sagepub.com
Structural health monitoring and assessment (SHMA) is exceptionally essential for
preserving and sustaining any mechanical structure's service life. A successful assessment …

Reducing false alarms in guided waves structural health monitoring of pipelines: Review synthesis and debate

M El Mountassir, S Yaacoubi, F Dahmene - International Journal of …, 2020 - Elsevier
Guided waves based structural health monitoring systems have been proposed to ensure
reliability and structural integrity of pipelines. These systems are designed with permanently …

Evaluation of subsurface defects in metallic structures using laser ultrasonic technique and genetic algorithm-back propagation neural network

K Zhang, G Lv, S Guo, D Chen, Y Liu, W Feng - NDT & E International, 2020 - Elsevier
An effective nondestructive evaluation technique that enables the detection and
quantification of subsurface defects is highly demanded for assuring safety and reliability of …

Ultrasonic touch sensing system based on lamb waves and convolutional neural network

CS Chang, YC Lee - Sensors, 2020 - mdpi.com
A tactile position sensing system based on the sensing of acoustic waves and analyzing with
artificial intelligence is proposed. The system comprises a thin steel plate with multiple …

[HTML][HTML] Bridge health monitoring using strain data and high-fidelity finite element analysis

B Ghahremani, A Enshaeian, P Rizzo - Sensors, 2022 - mdpi.com
This article presented a physics-based structural health monitoring (SHM) approach applied
to a pretensioned adjacent concrete box beams bridge in order to predict the deformations …

Outlier analysis of nonlinear solitary waves for health monitoring applications

B Zheng, P Rizzo, A Nasrollahi - Structural Health …, 2020 - journals.sagepub.com
The structural health monitoring/nondestructive evaluation method based on the generation
and detection of highly nonlinear solitary waves is emerging as a cost-effective technique to …

Outlier suppression via non-convex robust PCA for efficient localization in wireless sensor networks

X Li, S Ding, Y Li - IEEE Sensors Journal, 2017 - ieeexplore.ieee.org
Due to the fact that outliers can degrade localization accuracy significantly in wireless
sensor networks, we propose an outlier suppression approach via non-convex robust …

Diagnostics of Concrete Box Beam Bridges Using Wireless Sensors and Finite Element Analysis

P Rizzo, A Enshaeian… - Journal of …, 2024 - asmedigitalcollection.asme.org
Three pretensioned adjacent concrete box beam bridges were studied with a structural
health monitoring (SHM) paradigm based on strain measurements and finite element static …

Case Studies about Finite Element Modeling and Wireless Sensing of Three Pennsylvania Bridges

A Enshaeian, B Ghahremani, P Rizzo - Sensors, 2024 - mdpi.com
Three Pennsylvanian bridges were studied using finite element and wireless sensor
technology. A detailed finite element model of each bridge was created using a commercial …

Feature selection techniques for identifying the most relevant damage indices in SHM using Guided Waves

M El Mountassir, S Yaacoubi, J Ragot… - … Workshop On Structural …, 2016 - hal.science
Feature selection techniques aim to evaluate feature's importance and select the most
relevant ones. This paper concerns the selection of features in order to perform a reliable …