Semiactive control methodologies for suspension control with magnetorheological dampers M Zapateiro, F Pozo, HR Karimi, N Luo IEEE/ASME Transactions on mechatronics 17 (2), 370-380, 2011 | 176 | 2011 |
A Sensor Data Fusion System Based on k-Nearest Neighbor Pattern Classification for Structural Health Monitoring Applications J Vitola, F Pozo, DA Tibaduiza, M Anaya Sensors 17 (2), 417, 2017 | 160 | 2017 |
A European Association for the Control of Structures joint perspective. Recent studies in civil structural control across Europe B Basu, OS Bursi, F Casciati, S Casciati, AE Del Grosso, M Domaneschi, ... Structural Control and Health Monitoring 21 (12), 1414-1436, 2014 | 120 | 2014 |
Damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications DA Tibaduiza Burgos, RC Gomez Vargas, C Pedraza, D Agis, F Pozo Sensors 20 (3), 733, 2020 | 118 | 2020 |
Wind turbine fault detection and classification by means of image texture analysis M Ruiz, LE Mujica, S Alférez, L Acho, C Tutivén, Y Vidal, J Rodellar, ... Mechanical Systems and Signal Processing 107, 149-167, 2018 | 107 | 2018 |
A structural damage detection indicator based on principal component analysis and statistical hypothesis testing LE Mújica, M Ruiz, F Pozo, J Rodellar, A Güemes Smart materials and structures 23 (2), 025014, 2013 | 91 | 2013 |
Power control design for variable-speed wind turbines Y Vidal, L Acho, N Luo, M Zapateiro, F Pozo Energies 5 (8), 3033-3050, 2012 | 88 | 2012 |
Wind turbine fault detection through principal component analysis and statistical hypothesis testing F Pozo, Y Vidal Energies 9 (1), 3, 2015 | 84 | 2015 |
Hierarchical semi-active control of base-isolated structures using a new inverse model of magnetorheological dampers A Bahar, F Pozo, L Acho, J Rodellar, A Barbat Computers & structures 88 (7-8), 483-496, 2010 | 82 | 2010 |
Distributed piezoelectric sensor system for damage identification in structures subjected to temperature changes J Vitola, F Pozo, DA Tibaduiza, M Anaya Sensors 17 (6), 1252, 2017 | 68 | 2017 |
Wind turbine multi-fault detection and classification based on SCADA data Y Vidal, F Pozo, C Tutivén Energies 11 (11), 3018, 2018 | 65 | 2018 |
A damage classification approach for structural health monitoring using machine learning D Tibaduiza, MÁ Torres-Arredondo, J Vitola, M Anaya, F Pozo Complexity 2018 (1), 5081283, 2018 | 65 | 2018 |
Adaptive backstepping control of hysteretic base-isolated structures F Pozo, F Ikhouane, G Pujol, J Rodellar Journal of Vibration and Control 12 (4), 373-394, 2006 | 60 | 2006 |
Parameter identification of large-scale magnetorheological dampers in a benchmark building A Bahar, F Pozo, L Acho, J Rodellar, A Barbat Computers & structures 88 (3-4), 198-206, 2010 | 55 | 2010 |
Wind turbine condition monitoring strategy through multiway PCA and multivariate inference F Pozo, Y Vidal, Ó Salgado Energies 11 (4), 749, 2018 | 53 | 2018 |
An isolation device for near‐fault ground motions M Ismail, J Rodellar, F Pozo Structural Control and Health Monitoring 21 (3), 249-268, 2014 | 47 | 2014 |
Decentralised reliable guaranteed cost control of uncertain systems: an LMI design G Pujol, J Rodellar, JM Rossell, F Pozo IET Control Theory & Applications 1 (3), 779-785, 2007 | 47 | 2007 |
Force‐derivative feedback semi‐active control of base‐isolated buildings using large‐scale MR fluid dampers A Rodríguez, F Pozo, A Bahar, L Acho, Y Vidal, J Rodellar Structural Control and Health Monitoring 19 (1), 120-145, 2012 | 42 | 2012 |
Detection of structural changes through principal component analysis and multivariate statistical inference F Pozo, I Arruga, LE Mujica, M Ruiz, E Podivilova Structural Health Monitoring 15 (2), 127-142, 2016 | 41 | 2016 |
Robust active control of hysteretic base‐isolated structures: Application to the benchmark smart base‐isolated building F Pozo, PM Montserrat, J Rodellar, L Acho Structural Control and Health Monitoring: The Official Journal of the …, 2008 | 40 | 2008 |