Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

A Malekloo, E Ozer, M AlHamaydeh… - Structural Health …, 2022 - journals.sagepub.com
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 …

Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019

R Hou, Y Xia - Journal of Sound and Vibration, 2021 - Elsevier
Structural damage identification has received considerable attention during the past
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

O Avci, O Abdeljaber, S Kiranyaz, M Hussein… - Mechanical systems and …, 2021 - Elsevier
Monitoring structural damage is extremely important for sustaining and preserving the
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

A Entezami, H Sarmadi, B Behkamal - Mechanical Systems and Signal …, 2023 - Elsevier
Monitoring of modal frequencies under an unsupervised learning framework is a practical
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

FJ Pallarés, M Betti, G Bartoli, L Pallarés - Construction and Building …, 2021 - Elsevier
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 …

Structural health monitoring in composite structures: A comprehensive review

S Hassani, M Mousavi, AH Gandomi - Sensors, 2021 - mdpi.com
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 …

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 …

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 …

A review of operational modal analysis techniques for in-service modal identification

FB Zahid, ZC Ong, SY Khoo - Journal of the Brazilian Society of …, 2020 - Springer
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 …

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 …