Damage assessment of smart composite structures via machine learning: a review

A Khan, N Kim, JK Shin, HS Kim, BD Youn - JMST Advances, 2019 - Springer
Composite materials are heterogeneous in nature and suffer from complex non-linear
modes of failure, such as delamination, matrix crack, fiber-breakage, and voids, among …

[HTML][HTML] Dynamic structural health monitoring of a model wind turbine tower using distributed acoustic sensing (DAS)

PG Hubbard, J Xu, S Zhang, M Dejong, L Luo… - Journal of civil structural …, 2021 - Springer
Maintenance of wind turbine towers is currently a manual process that requires visual
inspection and bolt tightening yearly. This process is costly to energy companies and its …

Vibration-based damage detection for a population of nominally identical structures: Unsupervised Multiple Model (MM) statistical time series type methods

KJ Vamvoudakis-Stefanou, JS Sakellariou… - … Systems and Signal …, 2018 - Elsevier
The problem of vibration-based damage detection for a population of nominally identical
structures is considered via unsupervised statistical time series type methods. For this …

F8BT-based highly sensitive humidity sensor for metaverse interfacing

J Kim, MY Chougale, RA Shaukat, SR Patil… - Sensors and Actuators B …, 2024 - Elsevier
The fourth industrial revolution requires sensor-based space interfacing technologies
between the real world and the metaverse. This technology demands prompt …

Damage/fault diagnosis in an operating wind turbine under uncertainty via a vibration response Gaussian mixture random coefficient model based framework

LD Avendaño-Valencia, SD Fassois - Mechanical Systems and Signal …, 2017 - Elsevier
The study focuses on vibration response based health monitoring for an operating wind
turbine, which features time-dependent dynamics under environmental and operational …

[HTML][HTML] Radiomics of pericardial fat: a new frontier in heart failure discrimination and prediction

L Szabo, A Salih, ER Pujadas, A Bard, C McCracken… - European …, 2024 - Springer
Objectives To use pericardial adipose tissue (PAT) radiomics phenotyping to differentiate
existing and predict future heart failure (HF) cases in the UK Biobank. Methods PAT …

Gaussian Mixture Random Coefficient model based framework for SHM in structures with time–dependent dynamics under uncertainty

LD Avendano-Valencia, SD Fassois - Mechanical Systems and Signal …, 2017 - Elsevier
The problem of vibration–based damage diagnosis in structures characterized by time–
dependent dynamics under significant environmental and/or operational uncertainty is …

Artificial intelligence techniques for fault assessment in laminated composite structure: A review

S Patro, TR Mahapatra, S Dash… - E3S Web of …, 2021 - e3s-conferences.org
There is a continuous quest in the research community for superior and more accurate
methodology for fault diagnosis and condition monitoring of diverse composite structure …

An automated hypersphere-based healthy subspace method for robust and unsupervised damage detection via random vibration response signals

VS Kyriakos, F Spilios, S John - Structural Health Monitoring, 2022 - journals.sagepub.com
A novel, unsupervised, hypersphere-based healthy subspace method for robust damage
detection under non-quantifiable uncertainty via a limited number of random vibration …

[HTML][HTML] GP-ARX-based structural damage detection and localization under varying environmental conditions

K Tatsis, V Dertimanis, Y Ou, E Chatzi - Journal of Sensor and Actuator …, 2020 - mdpi.com
The representation of structural dynamics in the absence of physics-based models, is often
accomplished through the identification of parametric models, such as the autoregressive …