Vibration feature extraction using signal processing techniques for structural health monitoring: A review
Structural health monitoring (SHM) has become an important and hot topic for decades in
various fields of civil, mechanical, automotive, and aerospace engineering, etc. Estimating …
various fields of civil, mechanical, automotive, and aerospace engineering, etc. Estimating …
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …
smart monitoring and decision-making solutions. Near real-time and online damage …
Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review
Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …
recent technological advancements in sensors, as well as high-speed internet and cloud …
[HTML][HTML] Intelligent damage diagnosis in bridges using vibration-based monitoring approaches and machine learning: a systematic review
R Niyirora, W Ji, E Masengesho, J Munyaneza… - Results in …, 2022 - Elsevier
Damage detection and safety assessment play a prominent role in the integrity management
of bridge structures. Environmental and operational variability are the leading factors that …
of bridge structures. Environmental and operational variability are the leading factors that …
Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications
W Fan, Y Chen, J Li, Y Sun, J Feng, H Hassanin… - Structures, 2021 - Elsevier
Abstract Machine learning is one of the key pillars of industry 4.0 that has enabled rapid
technological advancement through establishing complex connections among …
technological advancement through establishing complex connections among …
Deep learning for optical sensor applications: A review
Over the past decade, deep learning (DL) has been applied in a large number of optical
sensors applications. DL algorithms can improve the accuracy and reduce the noise level in …
sensors applications. DL algorithms can improve the accuracy and reduce the noise level in …
The application of deep learning in bridge health monitoring: a literature review
Along with the advancement in sensing and communication technologies, the explosion in
the measurement data collected by structural health monitoring (SHM) systems installed in …
the measurement data collected by structural health monitoring (SHM) systems installed in …
Towards smart cities: crowdsensing-based monitoring of transportation infrastructure using in-traffic vehicles
This paper presents a novel framework for transportation infrastructure monitoring using
sensors in crowdsourced moving vehicles. Vehicles equipped with various kinds of sensors …
sensors in crowdsourced moving vehicles. Vehicles equipped with various kinds of sensors …
A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced composite plates using modal kinetic energy
HQ Le, TT Truong, D Dinh-Cong… - Frontiers of Structural and …, 2021 - Springer
This paper proposes a new Deep Feed-forward Neural Network (DFNN) approach for
damage detection in functionally graded carbon nanotube-reinforced composite (FG …
damage detection in functionally graded carbon nanotube-reinforced composite (FG …
A review of latest trends in bridge health monitoring
Structural damage is inherent in civil engineering structures, and bridges are no exception. It
is vital to monitor and keep track of damage in bridge structures as a result of multiple …
is vital to monitor and keep track of damage in bridge structures as a result of multiple …