Transmissibility-based system identification for structural health Monitoring: Fundamentals, approaches, and applications

WJ Yan, MY Zhao, Q Sun, WX Ren - Mechanical Systems and Signal …, 2019 - Elsevier
The difficulty of achieving controlled input has led to the development of new output-only
structural health monitoring (SHM) approaches. Without measuring the input or assuming a …

[HTML][HTML] A comparative study of damage-sensitive features for rapid data-driven seismic structural health monitoring

Y Reuland, P Martakis, E Chatzi - Applied Sciences, 2023 - mdpi.com
Rapid post-earthquake damage assessment forms a critical element of resilience, ensuring
a prompt and functional recovery of the built environment. Monitoring-based approaches …

Ensemble learning‐based structural health monitoring by Mahalanobis distance metrics

H Sarmadi, A Entezami… - Structural Control and …, 2021 - Wiley Online Library
Environmental variability is still a major challenge in structural health monitoring. Due to the
similarity of changes caused by environmental variations to damage, false positive and false …

Structural anomaly detection based on probabilistic distance measures of transmissibility function and statistical threshold selection scheme

WJ Yan, D Chronopoulos, KV Yuen, YC Zhu - Mechanical Systems and …, 2022 - Elsevier
As a mathematical representation of the output-to-output relationship, transmissibility
function (TF) has been extensively applied in structural damage detection due to its …

Structural damage detection using transmissibility together with hierarchical clustering analysis and similarity measure

YL Zhou, NMM Maia, RPC Sampaio… - Structural health …, 2017 - journals.sagepub.com
Maintenance and repairing in actual engineering for long-term used structures, such as
pipelines and bridges, make structural damage detection indispensable, as an …

Unsupervised machine and deep learning methods for structural damage detection: a comparative study

Z Wang, YJ Cha - Engineering Reports, 2022 - Wiley Online Library
While many structural damage detection methods have been developed in recent decades,
few data‐driven methods in unsupervised learning mode have been developed to solve the …

Damage detection using transmissibility compressed by principal component analysis enhanced with distance measure

YL Zhou, NMM Maia… - Journal of Vibration and …, 2018 - journals.sagepub.com
Detecting structural damage in operational conditions still encounters some difficulties,
especially in early-stage, as environmental varieties impose challenges in real engineering …

[HTML][HTML] Bridge damage identification using deep neural networks on time–frequency signals representation

P Santaniello, P Russo - Sensors, 2023 - mdpi.com
For the purpose of maintaining and prolonging the service life of civil constructions,
structural damage must be closely monitored. Monitoring the incidence, formation, and …

Nonlinear measurements for feature extraction in structural health monitoring

JP Amezquita-Sanchez, H Adeli - Scientia Iranica, 2019 - scientiairanica.sharif.edu
In the past twenty-five years, structural health monitoring (SHM) has become an increasingly
significant topic of investigation in the civil and structural engineering research community …

Transmissibility function-based fault diagnosis methods for beam-like engineering structures: a review of theory and properties

Q Li, M Liao, X Jing - Nonlinear Dynamics, 2021 - Springer
The beam-like structures commonly exist in engineering systems and there are many critical
issues relevant to fault diagnosis of those structures. Noticeably, among all other existing …