E. Figueiredo

发表

Machine learning algorithms for damage detection: Kernel-based approaches

Claudomiro Sales, Adam Santos, João C. W. A. Costa, 2016 .

Damage Detection and Quantification Using Transmissibility Coherence Analysis

E. Figueiredo, N. Maia, Yunlai Zhou, 2015 .

Agglomerative concentric hypersphere clustering applied to structural damage detection

Claudomiro Sales, Adam Santos, Eloi Figueiredo, 2017 .

A structural damage detection technique based on agglomerative clustering applied to the Z-24 Bridge

Adam Santos, E. Figueiredo, M. Silva, 2016 .

Damage quantification using transfer component analysis combined with Gaussian process regression

E. Figueiredo, S. da Silva, Marcus Omori Yano, 2022, Structural Health Monitoring.

Transfer Learning to Enhance the Damage Detection Performance in Bridges When Using Numerical Models

E. Figueiredo, I. Moldovan, S. da Silva, 2023, Journal of Bridge Engineering.

Smartphone Application for Structural Health Monitoring of Bridges

E. Figueiredo, Ionut-Daniel Moldovan, Pedro Alves, 2022, Sensors.

Autoregressive modeling with state-space embedding vectors for damage detection under operational variability

Charles R. Farrar, Eric B. Flynn, Michael D. Todd, 2010 .

A novel unsupervised approach based on a genetic algorithm for structural damage detection in bridges

Claudomiro Sales, Eloi Figueiredo, Reginaldo Santos, 2016, Eng. Appl. Artif. Intell..

Finite Element–Based Machine-Learning Approach to Detect Damage in Bridges under Operational and Environmental Variations

Adam Santos, Eloi Figueiredo, Ionut Moldovan, 2019, Journal of Bridge Engineering.

A mobile-agent-based wireless sensing network for structural monitoring applications

Charles R. Farrar, Gyuhae Park, Stuart G. Taylor, 2009 .

Machine learning algorithms for damage detection under operational and environmental variability

Charles R. Farrar, Gyuhae Park, Keith Worden, 2011 .

Influence of the Autoregressive Model Order on Damage Detection

Charles R. Farrar, Gyuhae Park, Keith Worden, 2011, Comput. Aided Civ. Infrastructure Eng..

Time series predictive models of piezoelectric active-sensing for SHM applications

Charles R. Farrar, Gyuhae Park, Kevin M. Farinholt, 2010, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Damage‐sensitive feature extraction with stacked autoencoders for unsupervised damage detection

João C. W. A. Costa, Adam Santos, E. Figueiredo, 2021, Structural Control and Health Monitoring.

Damage Detection for Structural Health Monitoring of Bridges as a Knowledge Discovery in Databases Process

Adam Santos, Eloi Figueiredo, Moisés Silva, 2019, Data Mining in Structural Dynamic Analysis.

Deep principal component analysis: An enhanced approach for structural damage identification

Claudomiro Sales, Adam Santos, Eloi Figueiredo, 2018, Structural Health Monitoring.

Delamination area quantification in composite structures using Gaussian process regression and auto-regressive models

Gyuhae Park, Eloi Figueiredo, Samuel da Silva, 2020, Journal of Vibration and Control.

Damage Quantification in Composite Structures Using Autoregressive Models

Eloi Figueiredo, Samuel da Silva, Jesse Augusto Dos Santos Paixão, 2019, Lecture Notes in Mechanical Engineering.

Use of Time-Series Predictive Models for Piezoelectric Active-Sensing in Structural Health Monitoring Applications

Charles R. Farrar, Gyuhae Park, Kevin M. Farinholt, 2012 .

A structural decomposition approach for detecting, locating, and quantifying nonlinearities in chain‐like systems

Charles R. Farrar, Roger Ghanem, Sami F. Masri, 2010 .

An experimental investigation of change detection in uncertain chain-like systems

Charles R. Farrar, Roger Ghanem, Sami F. Masri, 2010 .

Structural health monitoring algorithm comparisons using standard data sets

Charles R. Farrar, Gyuhae Park, Keith Worden, 2009 .

A global expectation-maximization based on memetic swarm optimization for structural damage detection

Claudomiro Sales, Adam Santos, João C. W. A. Costa, 2016 .

3D structural vibration identification from dynamic point clouds

David Mascareñas, Eloi Figueiredo, Yongchao Yang, 2022, Mechanical Systems and Signal Processing.

Autoregressive modeling with state-space embedding vectors for damage detection under operational and environmental variability

Charles R. Farrar, Eric B. Flynn, Eloi Figueiredo, 2010 .

Genetic‐based EM algorithm to improve the robustness of Gaussian mixture models for damage detection in bridges

Claudomiro Sales, Adam Santos, João C. W. A. Costa, 2017 .

Three decades of statistical pattern recognition paradigm for SHM of bridges

E. Figueiredo, J. Brownjohn, 2022, Structural Health Monitoring.

Applicability of linear and nonlinear principal component analysis for damage detection

Eloi Figueiredo, João C. W. A. Costa, João C. W. A. Costa, 2015, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

A Bayesian approach based on a Markov-chain Monte Carlo method for damage detection under unknown sources of variability

Charles R. Farrar, Keith Worden, Eloi Figueiredo, 2014 .

Linear approaches to modeling nonlinearities in long-term monitoring of bridges

Elizabeth Cross, Eloi Figueiredo, E. Figueiredo, 2013 .

Output-only structural health monitoring based on mean shift clustering for vibration-based damage detection

Adam Santos, E. Figueiredo, M. Silva, 2016 .

Reliability of probabilistic numerical data for training machine learning algorithms to detect damage in bridges

E. Figueiredo, I. Moldovan, M. Nedelcu, 2022, Structural Control and Health Monitoring.

Nonnegative matrix factorization-based blind source separation for full-field and high-resolution modal identification from video

Yongchao Yang, Eloi Figueiredo, David Mascareñas, 2020, Journal of Sound and Vibration.

Spatio-temporal decomposition of 2D travelling waves from video measurements

David Mascareñas, Eloi Figueiredo, João C. W. A. Costa, 2020 .

A Global Expectation–Maximization Approach Based on Memetic Algorithm for Vibration-Based Structural Damage Detection

Claudomiro Sales, Eloi Figueiredo, Reginaldo Santos, 2017, IEEE Transactions on Instrumentation and Measurement.

Autoregressive model extrapolation using cubic splines for damage progression analysis

E. Figueiredo, S. da Silva, Luis G. G. Villani, 2021, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

A Roadmap for an Integrated Assessment Approach to the Adaptation of Concrete Bridges to Climate Change

E. Figueiredo, I. Moldovan, D. Kraniotis, 2023, Journal of Bridge Engineering.