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 …
Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019
Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …
decades. Although several reviews have been presented, some new developments have …
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
Monitoring structural damage is extremely important for sustaining and preserving the
service life of civil structures. While successful monitoring provides resolute and staunch …
service life of civil structures. While successful monitoring provides resolute and staunch …
[HTML][HTML] A novel double-hybrid learning method for modal frequency-based damage assessment of bridge structures under different environmental variation patterns
Monitoring of modal frequencies under an unsupervised learning framework is a practical
strategy for damage assessment of civil structures, especially bridges. However, the key …
strategy for damage assessment of civil structures, especially bridges. However, the key …
[HTML][HTML] Structural health monitoring (SHM) and Nondestructive testing (NDT) of slender masonry structures: A practical review
The scientific community is hardly working to propose reliable methodologies of analysis
and non-invasive technologies of investigation to assess the current state of conservation of …
and non-invasive technologies of investigation to assess the current state of conservation of …
Structural health monitoring in composite structures: A comprehensive review
This study presents a comprehensive review of the history of research and development of
different damage-detection methods in the realm of composite structures. Different fields of …
different damage-detection methods in the realm of composite structures. Different fields of …
Early fault detection of machine tools based on deep learning and dynamic identification
B Luo, H Wang, H Liu, B Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In modern digital manufacturing, nearly 79.6% of the downtime of a machine tool is caused
by its mechanical failures. Predictive maintenance (PdM) is a useful way to minimize the …
by its mechanical failures. Predictive maintenance (PdM) is a useful way to minimize the …
Operational modal analysis of civil engineering structures
C Rainieri, G Fabbrocino - Springer, New York, 2014 - Springer
Operational Modal Analysis is the testing procedure yielding experimental estimates of the
modal parameters from measurements of the structural response only. This book reports …
modal parameters from measurements of the structural response only. This book reports …
A review of operational modal analysis techniques for in-service modal identification
Vibrations are the root cause of many mechanical and civil structure failures. Dynamic
characteristics of a structure must be extracted to better understand structural vibrational …
characteristics of a structure must be extracted to better understand structural vibrational …
Review of vibration-based structural health monitoring using deep learning
G Toh, J Park - Applied Sciences, 2020 - mdpi.com
With the rapid progress in the deep learning technology, it is being used for vibration-based
structural health monitoring. When the vibration is used for extracting features for system …
structural health monitoring. When the vibration is used for extracting features for system …