Machine learning algorithms for damage detection under operational and environmental variability E Figueiredo, G Park, CR Farrar, K Worden, J Figueiras Structural Health Monitoring 10 (6), 559-572, 2011 | 470 | 2011 |
Structural health monitoring algorithm comparisons using standard data sets E Figueiredo, G Park, J Figueiras, C Farrar, K Worden Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2009 | 301 | 2009 |
Machine learning algorithms for damage detection: Kernel-based approaches A Santos, E Figueiredo, MFM Silva, CS Sales, J Costa Journal of Sound and Vibration 363, 584-599, 2016 | 214 | 2016 |
Influence of the autoregressive model order on damage detection E Figueiredo, J Figueiras, G Park, CR Farrar, K Worden Computer‐Aided Civil and Infrastructure Engineering 26 (3), 225-238, 2011 | 172 | 2011 |
A novel unsupervised approach based on a genetic algorithm for structural damage detection in bridges M Silva, A Santos, E Figueiredo, R Santos, C Sales, JCWA Costa Engineering Applications of Artificial Intelligence 52, 168-180, 2016 | 126 | 2016 |
A Bayesian approach based on a Markov-chain Monte Carlo method for damage detection under unknown sources of variability E Figueiredo, L Radu, K Worden, CR Farrar Engineering Structures 80, 1-10, 2014 | 119 | 2014 |
Three decades of statistical pattern recognition paradigm for SHM of bridges E Figueiredo, J Brownjohn Structural Health Monitoring 21 (6), 3018-3054, 2022 | 117 | 2022 |
A mobile-agent-based wireless sensing network for structural monitoring applications SG Taylor, KM Farinholt, EB Flynn, E Figueiredo, DL Mascarenas, ... Measurement Science and Technology 20 (4), 045201, 2009 | 113 | 2009 |
Linear approaches to modeling nonlinearities in long-term monitoring of bridges E Figueiredo, E Cross Journal of Civil Structural Health Monitoring 3, 187-194, 2013 | 86 | 2013 |
Finite element–based machine-learning approach to detect damage in bridges under operational and environmental variations E Figueiredo, I Moldovan, A Santos, P Campos, JCWA Costa Journal of Bridge Engineering 24 (7), 04019061, 2019 | 78 | 2019 |
Damage detection and quantification using transmissibility coherence analysis YL Zhou, E Figueiredo, N Maia, R Perera Shock and Vibration 2015 (1), 290714, 2015 | 69 | 2015 |
Damage detection in structures using a transmissibility‐based Mahalanobis distance YL Zhou, E Figueiredo, N Maia, R Sampaio, R Perera Structural Control and Health Monitoring 22 (10), 1209-1222, 2015 | 68 | 2015 |
Deep principal component analysis: An enhanced approach for structural damage identification M Silva, A Santos, R Santos, E Figueiredo, C Sales, JCWA Costa Structural Health Monitoring 18 (5-6), 1444-1463, 2019 | 64 | 2019 |
Genetic‐based EM algorithm to improve the robustness of Gaussian mixture models for damage detection in bridges A Santos, E Figueiredo, M Silva, R Santos, C Sales, JCWA Costa Structural Control and Health Monitoring 24 (3), e1886, 2017 | 63 | 2017 |
Autoregressive modeling with state-space embedding vectors for damage detection under operational variability E Figueiredo, MD Todd, CR Farrar, E Flynn International Journal of Engineering Science 48 (10), 822-834, 2010 | 60 | 2010 |
Condition Assessment of Bridges: Past, Presente and Future E Figueiredo, I Moldovan, M Barata Marques Universidade Católica Editora, 2013 | 57 | 2013 |
An experimental investigation of change detection in uncertain chain-like systems MR Hernandez-Garcia, SF Masri, R Ghanem, E Figueiredo, CR Farrar Journal of Sound and Vibration 329 (12), 2395-2409, 2010 | 57 | 2010 |
Machine learning algorithms for damage detection E Figueiredo, A Santos Vibration-based techniques for damage detection and localization in …, 2018 | 42 | 2018 |
A global expectation-maximization based on memetic swarm optimization for structural damage detection A Santos, M Silva, R Santos, E Figueiredo, C Sales, JCWA Costa Structural Health Monitoring 15 (5), 610-625, 2016 | 38 | 2016 |
Applicability of linear and nonlinear principal component analysis for damage detection ADF Santos, MFM Silva, CS Sales, JCWA Costa, E Figueiredo 2015 IEEE International Instrumentation and Measurement Technology …, 2015 | 35 | 2015 |