A review of distributed optical fiber sensors for civil engineering applications
The application of structural health monitoring (SHM) systems to civil engineering structures
has been a developing studied and practiced topic, that has allowed for a better …
has been a developing studied and practiced topic, that has allowed for a better …
Unsupervised learning methods for data-driven vibration-based structural health monitoring: a review
Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …
topic in the structural health monitoring (SHM) research community during the past decades …
Damage detection in railway bridges using traffic-induced dynamic responses
This paper aims at detecting damage in railway bridges based on traffic-induced dynamic
responses. To achieve this goal, an unsupervised automatic data-driven methodology is …
responses. To achieve this goal, an unsupervised automatic data-driven methodology is …
Crack detection and characterization techniques—An overview
Y Yao, STE Tung, B Glisic - Structural Control and Health …, 2014 - Wiley Online Library
Crack occurrence and propagation are among critical factors that affect the performance and
lifespan of civil infrastructures such as bridges, pipelines, and so on. As a consequence …
lifespan of civil infrastructures such as bridges, pipelines, and so on. As a consequence …
Value of information: impact of monitoring on decision‐making
Structural health monitoring (SHM) is a process aimed at providing accurate and in‐time
information concerning structural health condition and performance, which can serve as an …
information concerning structural health condition and performance, which can serve as an …
Real-time anomaly detection framework using a support vector regression for the safety monitoring of commercial aircraft
The development of an automated health monitoring framework is critical for aviation system
safety, especially considering the expected increase in air traffic over the next decade …
safety, especially considering the expected increase in air traffic over the next decade …
Structural health monitoring as a big-data problem
Structural health monitoring (SHM) has evolved over decades of continuous progress in
measuring, processing, collecting and storing massive amounts of data that can provide …
measuring, processing, collecting and storing massive amounts of data that can provide …
Toward data-driven structural health monitoring: Application of machine learning and signal processing to damage detection
Y Ying, JH Garrett Jr, IJ Oppenheim… - Journal of Computing …, 2013 - ascelibrary.org
A multilayer data-driven framework for robust structural health monitoring based on a
comprehensive application of machine learning and signal processing techniques is …
comprehensive application of machine learning and signal processing techniques is …
Development of method for in-service crack detection based on distributed fiber optic sensors
B Glisic, D Inaudi - Structural Health Monitoring, 2012 - journals.sagepub.com
Many bridges worldwide are approaching the end of their lifespan and it is necessary to
assess their health condition in order to mitigate risks, prevent disasters, and plan …
assess their health condition in order to mitigate risks, prevent disasters, and plan …
Damage detection under environmental and operational effects using cointegration analysis–application to experimental data from a cable-stayed bridge
ES Tome, M Pimentel, J Figueiras - Mechanical Systems and Signal …, 2020 - Elsevier
One of the main challenges that Structural Health Monitoring (SHM) faces when transitioning
from academia to real-world applications is the discernment between structural changes due …
from academia to real-world applications is the discernment between structural changes due …