Recent progress and future trends on damage identification methods for bridge structures

Y An, E Chatzi, SH Sim, S Laflamme… - … Control and Health …, 2019 - Wiley Online Library
Damage identification forms a key objective in structural health monitoring. Several state‐of‐
the‐art review papers regarding progress in this field up to 2011 have been published. This …

First-order eigen-perturbation techniques for real-time damage detection of vibrating systems: Theory and applications

B Bhowmik, T Tripura, B Hazra… - Applied …, 2019 - asmedigitalcollection.asme.org
This manuscript provides a detailed synopsis of the contemporary advancements in the
nascent area of real-time structural damage detection for vibrating systems. The paper …

Real-time anomaly detection framework using a support vector regression for the safety monitoring of commercial aircraft

H Lee, G Li, A Rai, A Chattopadhyay - Advanced Engineering Informatics, 2020 - Elsevier
The development of an automated health monitoring framework is critical for aviation system
safety, especially considering the expected increase in air traffic over the next decade …

Structural damage detection using artificial bee colony algorithm with hybrid search strategy

ZH Ding, M Huang, ZR Lu - Swarm and Evolutionary Computation, 2016 - Elsevier
An approach for structural damage detection using the artificial bee colony (ABC) algorithm
with hybrid search strategy based on modal data is presented. More search strategies are …

Damage detection using data-driven methods applied to moving-load responses

F Cavadas, IFC Smith, J Figueiras - Mechanical Systems and Signal …, 2013 - Elsevier
Developed economies depend on complex and extensive systems of infrastructure to
maintain economic prosperity and quality of life. In recent years, the implementation of …

A temperature-driven MPCA method for structural anomaly detection

Y Zhu, YQ Ni, H Jin, D Inaudi, I Laory - Engineering Structures, 2019 - Elsevier
An important issue in structural health monitoring (SHM) is to develop appropriate
algorithms that can explicitly extract meaningful changes in measurements due to structural …

[HTML][HTML] A statistically based fault detection and diagnosis approach for non-residential building water distribution systems

H Hashim, P Ryan, E Clifford - Advanced Engineering Informatics, 2020 - Elsevier
Large non-residential buildings can contain complex and often inefficient water distribution
systems. As requirements for water increase due to water scarcity and industrialization, it …

Improving kernel PCA-based algorithm for fault detection in nonlinear industrial process through fractal dimension

MTH Kaib, A Kouadri, MF Harkat, A Bensmail… - Process Safety and …, 2023 - Elsevier
Abstract Principal Component Analysis (PCA) is a widely used technique for fault detection
and diagnosis. PCA works well when the data set has linear characteristics. However, most …

Methodologies for predicting natural frequency variation of a suspension bridge

I Laory, TN Trinh, IFC Smith, JMW Brownjohn - Engineering Structures, 2014 - Elsevier
In vibration-based structural health monitoring, changes in the natural frequency of a
structure are used to identify changes in the structural conditions due to damage and …

Modeling and separation of thermal effects from cable-stayed bridge response

X Xu, Q Huang, Y Ren, DY Zhao, J Yang… - Journal of Bridge …, 2019 - ascelibrary.org
This article presents a practical multivariate linear-based model for modeling and separation
of thermal effects from the cable-stayed bridge response. First, the discrete typical thermal …