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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 …
[HTML][HTML] Review of machine-learning techniques applied to structural health monitoring systems for building and bridge structures
This review identifies current machine-learning algorithms implemented in building
structural health monitoring systems and their success in determining the level of damage in …
structural health monitoring systems and their success in determining the level of damage in …
Semi-supervised multi-sensor information fusion tailored graph embedded low-rank tensor learning machine under extremely low labeled rate
This paper investigates a demanding and meaningful task of intelligent fault diagnosis, in
which multi-sensors signals are fused for semi-supervised analysis with few labeled fault …
which multi-sensors signals are fused for semi-supervised analysis with few labeled fault …
Time-varying damage detection in beam structures using variational mode decomposition and continuous wavelet transform
Civil engineering structures in operation are likely to suffer damage. During the service life,
structural damage evolves gradually from minor to severe. However, most current studies …
structural damage evolves gradually from minor to severe. However, most current studies …
Damage detection and localization of a steel truss bridge model subjected to impact and white noise excitations using empirical wavelet transform neural network …
This paper aims to present a computational and experimental investigation on the
performance of a new damage detection approach based on empirical wavelet transform …
performance of a new damage detection approach based on empirical wavelet transform …
A global–local meta-modelling technique for model updating
The finite element model updating procedure of large or complex structures is challenging
for engineering practitioners and researchers. Iterative methods, such as genetic algorithms …
for engineering practitioners and researchers. Iterative methods, such as genetic algorithms …
[HTML][HTML] A data-driven methodology for bridge indirect health monitoring using unsupervised computer vision
In recent years, researchers have extensively explored the application of drive-by inspection
technology for bridge damage assessment. This approach involves using the response of a …
technology for bridge damage assessment. This approach involves using the response of a …
A Loewner‐Based System Identification and Structural Health Monitoring Approach for Mechanical Systems
Data‐driven structural health monitoring (SHM) requires precise estimates of the target
system behaviour. In this sense, SHM by means of modal parameters is strictly linked to …
system behaviour. In this sense, SHM by means of modal parameters is strictly linked to …
[HTML][HTML] An efficient automatic modal identification method based on free vibration response and enhanced Empirical Fourier Decomposition technique
This paper presents an efficient yet practical approach for the automatic modal identification
of structures based on their free vibration response. The proposed approach relies on the …
of structures based on their free vibration response. The proposed approach relies on the …
A machine learning approach for automatic operational modal analysis
One of the major applications of Structural Dynamics in Civil, Mechanical, or Aerospace
Engineering regards the dynamic characterisation of man-made structures and components …
Engineering regards the dynamic characterisation of man-made structures and components …