Structural health monitoring as a big-data problem

C Cremona, J Santos - Structural Engineering International, 2018 - Taylor & Francis
Structural health monitoring (SHM) has evolved over decades of continuous progress in
measuring, processing, collecting and storing massive amounts of data that can provide …

Multivariate statistical analysis for early damage detection

JP Santos, C Crémona, AD Orcesi, P Silveira - Engineering Structures, 2013 - Elsevier
A large amount of researches and studies have been recently performed by applying
statistical methods for vibration-based damage detection. However, the global character …

Structural modification assessment using supervised learning methods applied to vibration data

V Alves, A Cury, N Roitman, C Magluta… - Engineering Structures, 2015 - Elsevier
Structural systems are usually subjected to degradation processes due to a combination of
causes, such as design or constructive problems, unexpected loadings or natural ageing …

Bridge damage detection via improved completed ensemble empirical mode decomposition with adaptive noise and machine learning algorithms

RM Delgadillo, JR Casas - Structural Control and Health …, 2022 - Wiley Online Library
Structural health monitoring field is growing in the use of more modern techniques and tools
in order to identify damages in civil structures. The improvements in signal processing …

On the use of symbolic vibration data for robust structural health monitoring

V Alves, A Cury, C Cremona - Proceedings of the Institution of …, 2016 - icevirtuallibrary.com
Structural health monitoring is based on the development of reliable and robust indicators
able to detect, locate, quantify or even predict damage. Studies related to damage detection …

Baseline-free real-time assessment of structural changes

JP Santos, AD Orcesi, C Crémona… - Structure and …, 2015 - Taylor & Francis
This article addresses the subject of data-driven structural health monitoring and proposes a
real-time strategy to conduct structural assessment without the need to define a baseline …

Novelty detection for SHM using raw acceleration measurements

V Alves, A Cury, N Roitman, C Magluta… - Structural Control and …, 2015 - Wiley Online Library
Structural health monitoring is a problem that can be addressed at many levels. One of the
most promising approaches used in damage assessment problems is based on pattern …

Real‐time damage detection based on pattern recognition

JP de Oliveira Dias Prudente dos Santos… - Structural …, 2016 - Wiley Online Library
Structural health monitoring (SHM) can be defined as the process of developing and
implementing structural damage detection strategies. Ideally, this detection should be …

A novel natural frequency-based technique to detect structural changes using computational intelligence

RP Finotti, F de Souza Barbosa, AA Cury, C Gentile - Procedia engineering, 2017 - Elsevier
Structural changes are usually associated to damage occurrence, which can be caused by
design flaws, constructive problems, unexpected loading, natural events or even natural …

Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

JP Santos, C Cremona, AD Orcesi, P Silveira… - Frontiers of structural …, 2015 - Springer
A large amount of researches and studies have been recently performed by applying
statistical and machine learning techniques for vibration-based damage detection. However …