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 …
A review of machine learning methods applied to structural dynamics and vibroacoustic
Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …
applied sciences, having encountered many applications in Structural Dynamics and …
State of the art in structural health monitoring of offshore and marine structures
H Pezeshki, H Adeli, D Pavlou… - Proceedings of the …, 2023 - icevirtuallibrary.com
This paper deals with state of the art in structural health monitoring (SHM) methods in
offshore and marine structures. Most SHM methods have been developed for onshore …
offshore and marine structures. Most SHM methods have been developed for onshore …
[HTML][HTML] Foundations of population-based SHM, Part III: Heterogeneous populations–Mapping and transfer
This is the third and final paper in a series laying foundations for a theory/methodology of
Population-Based Structural Health Monitoring (PBSHM). PBSHM involves utilising …
Population-Based Structural Health Monitoring (PBSHM). PBSHM involves utilising …
[HTML][HTML] Foundations of Population-based SHM, Part II: Heterogeneous populations–Graphs, networks, and communities
This paper is the second in a series of three which aims to provide a basis for Population-
Based Structural Health Monitoring (PBSHM); a new technology which will allow transfer of …
Based Structural Health Monitoring (PBSHM); a new technology which will allow transfer of …
Revolutionizing concrete analysis: An in-depth survey of AI-powered insights with image-centric approaches on comprehensive quality control, advanced crack …
Over the last two decades, the integration of big data and deep learning technologies has
demonstrated remarkable effectiveness across various domains of civil engineering, leading …
demonstrated remarkable effectiveness across various domains of civil engineering, leading …
The need for multi-sensor data fusion in structural health monitoring of composite aircraft structures
With the increased use of composites in aircraft, many new successful contributions to the
advancement of the structural health monitoring (SHM) field for composite aerospace …
advancement of the structural health monitoring (SHM) field for composite aerospace …
[HTML][HTML] A population-based SHM methodology for heterogeneous structures: Transferring damage localisation knowledge between different aircraft wings
Population-based structural health monitoring (PBSHM) offers a new viewpoint for structural
health monitoring (SHM), allowing diagnostic information to be shared across populations of …
health monitoring (SHM), allowing diagnostic information to be shared across populations of …
[HTML][HTML] On population-based structural health monitoring for bridges
J Gosliga, D Hester, K Worden, A Bunce - Mechanical Systems and Signal …, 2022 - Elsevier
The maintenance and repair of bridges (and other large scale infrastructure projects) is a
major area which could benefit from Structural Health Monitoring technology. Inspections on …
major area which could benefit from Structural Health Monitoring technology. Inspections on …
On the transfer of damage detectors between structures: An experimental case study
Incomplete data–which fail to represent environmental effects or damage–are a significant
challenge for structural health monitoring (SHM). Population-based frameworks offer one …
challenge for structural health monitoring (SHM). Population-based frameworks offer one …