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Ekhi Zugasti Uriguen (ORCID 0000-0001-8506-5695)
Ekhi Zugasti Uriguen (ORCID 0000-0001-8506-5695)
Mondragon unibertsitatea (ROR 00wvqgd19)
Dirección de correo verificada de mondragon.edu - Página principal
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Año
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
O Serradilla, E Zugasti, J Rodriguez, U Zurutuza
Applied Intelligence 52 (10), 10934-10964, 2022
1082022
Adaptable and explainable predictive maintenance: Semi-supervised deep learning for anomaly detection and diagnosis in press machine data
O Serradilla, E Zugasti, J Ramirez de Okariz, J Rodriguez, U Zurutuza
Applied Sciences 11 (16), 7376, 2021
402021
Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery
O Serradilla, E Zugasti, C Cernuda, A Aranburu, JR de Okariz, U Zurutuza
2020 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2020
362020
NullSpace and AutoRegressive damage detection: a comparative study
E Zugasti, AG González, J Anduaga, MA Arregui, F Martínez
Smart Materials and Structures 21 (8), 085010, 2012
192012
Impregnation quality diagnosis in resin transfer moulding by machine learning
J Mendikute, J Plazaola, M Baskaran, E Zugasti, L Aretxabaleta, ...
Composites Part B: Engineering 221, 108973, 2021
172021
Feature selection-Extraction methods based on PCA and mutual information to improve damage detection problem in offshore wind turbines
E Zugasti, LE Mujica, J Anduaga, F Martinez
Key Engineering Materials 569, 620-627, 2013
142013
Design and validation of a methodology for wind energy structures health monitoring
E Zugasti Uriguen
Universitat Politècnica de Catalunya, 2014
122014
Design and validation of a methodology for wind energy structures health monitoring
E Zugasti Uriguen
Universitat Politècnica de Catalunya, 2014
122014
Null is not always empty: Monitoring the null space for field-level anomaly detection in industrial IoT environments
E Zugasti, M Iturbe, I Garitano, U Zurutuza
2018 Global Internet of Things Summit (GIoTS), 1-6, 2018
112018
Contrastive explanations for a deep learning model on time-series data
J Labaien, E Zugasti, X De Carlos
International Conference on Big Data Analytics and Knowledge Discovery, 235-244, 2020
102020
Implementation of a reference architecture for cyber physical systems to support condition based maintenance
F Larrinaga, J Fernandez, E Zugasti, I Garitano, U Zurutuza, M Anasagasti, ...
2018 5th International Conference on Control, Decision and Information …, 2018
92018
Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge
O Serradilla, E Zugasti, J Ramirez de Okariz, J Rodriguez, U Zurutuza
International Journal of Computer Integrated Manufacturing 35 (12), 1310-1334, 2022
82022
A Big Data implementation of the MANTIS reference architecture for predictive maintenance
F Larrinaga, J Fernandez-Anakabe, E Zugasti, I Garitano, U Zurutuza, ...
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2019
82019
An Attribute Oriented Induction based Methodology for Data Driven Predictive Maintenance
J Fernandez-Anakabe, EZ Uriguen, UZ Ortega
arXiv preprint arXiv:1912.00662, 2019
62019
DA-DGCEx: Ensuring validity of deep guided counterfactual explanations with distribution-aware autoencoder loss
J Labaien, E Zugasti, X De Carlos
arXiv preprint arXiv:2104.09062, 2021
52021
Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models
J Mendikute, M Baskaran, I Llavori, E Zugasti, L Aretxabaleta, ...
Composites Part B: Engineering 260, 110790, 2023
42023
Damage Identification in a Laboratory Offshore Wind Turbine Demonstrator
A Gómez González, E Zugasti, J Anduaga
Key Engineering Materials 569, 555-562, 2013
42013
NullSpace Damage Detection Method with Different Environmental and Operational Conditions
E Zugasti, J Anduaga, MA Arregui, F Martínez
Proceedings of the 6th European Workshop of shm, 1368-1375, 2012
42012
Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation
S Barber, U Izagirre, O Serradilla, J Olaizola, E Zugasti, JI Aizpurua, ...
Energies 16 (8), 3567, 2023
22023
Sensor Fault Identification on Laboratory Tower
E Zugasti, P Arrillaga, J Anduaga, MA Arregui, F Martínez
6th European Workshop on Structural Health Monitoring, 1-8, 2012
22012
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Artículos 1–20