Three decades of statistical pattern recognition paradigm for SHM of bridges

E Figueiredo, J Brownjohn - Structural Health Monitoring, 2022 - journals.sagepub.com
Bridges play a crucial role in modern societies, regardless of their culture, geographical
location, or economic development. The safest, economical, and most resilient bridges are …

Damage detection techniques for wind turbine blades: A review

Y Du, S Zhou, X Jing, Y Peng, H Wu, N Kwok - Mechanical Systems and …, 2020 - Elsevier
Blades play a vital role in wind turbine system performances. However, they are susceptible
to damage arising from complex and irregular loading or even cause catastrophic collapse …

A review of damage detection methods for wind turbine blades

D Li, SCM Ho, G Song, L Ren, H Li - Smart Materials and …, 2015 - iopscience.iop.org
Wind energy is one of the most important renewable energy sources and many countries are
predicted to increase wind energy portion of their whole national energy supply to about …

Machine learning‐based automatic operational modal analysis: A structural health monitoring application to masonry arch bridges

M Civera, V Mugnaini… - Structural Control and …, 2022 - Wiley Online Library
Structural health monitoring (SHM) is one of the main research topics in civil, mechanical
and aerospace engineering. In this regard, modal parameters and their trends over time can …

Review of machine-learning techniques applied to structural health monitoring systems for building and bridge structures

A Gomez-Cabrera, PJ Escamilla-Ambrosio - Applied Sciences, 2022 - mdpi.com
This review identifies current machine-learning algorithms implemented in building
structural health monitoring systems and their success in determining the level of damage in …

SHM under varying environmental conditions: An approach based on model order reduction and deep learning

M Torzoni, L Rosafalco, A Manzoni, S Mariani… - Computers & …, 2022 - Elsevier
Data-driven approaches to structural health monitoring (SHM) have been recently shown to
be a powerful paradigm, helping to lead to an evolution of traditional scheduled-based …

Vibration-based structural health monitoring under changing environmental conditions using Kalman filtering

K Erazo, D Sen, S Nagarajaiah, L Sun - Mechanical systems and signal …, 2019 - Elsevier
A Kalman filtering based framework for structural damage assessment under changing
environmental conditions is presented. The approach is based on the well-known property …

Lamb waves-based technologies for structural health monitoring of composite structures for aircraft applications

M Philibert, K Yao, M Gresil, C Soutis - European Journal of …, 2022 - Taylor & Francis
The most common researched area of damage in a composite material such as carbon fibre
reinforced plastics (CFRP) used currently in aircraft construction is barely visible impact …

[HTML][HTML] A comparison of linear approaches to filter out environmental effects in structural health monitoring

A Deraemaeker, K Worden - Mechanical systems and signal processing, 2018 - Elsevier
This paper discusses the possibility of using the Mahalanobis squared-distance to perform
robust novelty detection in the presence of important environmental variability in a …

On vibration-based damage detection by multivariate statistical techniques: Application to a long-span arch bridge

G Comanducci, F Magalhães… - Structural health …, 2016 - journals.sagepub.com
Structural health monitoring allows the automated condition assessment of civil
infrastructure, leading to a cost-effective management of maintenance activities. However …