Zer egiten dugu

Towards robust defect detection in casting using contrastive learning

COMUNICACION_CONGRESO  |  26th Iberoamerican Congress on Pattern Recognition (CIARP 2023). Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Lecture Notes in Computer Science. Vol. 14469. Pp. 605-616,

Urtea: 2024  |  ISBN/ISSN: 978-3-031-49018-7

Egilea: INTXAUSTI ARBAIZA, ENEKO   CERNUDA GARCIA, CARLOS   ELIZONDO, ESTIBALIZ   LEIBAR, ANE MIREN   ZUGASTI URIGUEN, EKHI  

A Methodology for Advanced Manufacturing Defect Detection through Self-Supervised Learning on X-ray Images

ARTICULO  |  Applied Sciences. Vol. 14. N. 7. N. art. 2785,

Urtea: 2024  |  ISBN/ISSN: 2076-3417 (online)

Egilea: INTXAUSTI ARBAIZA, ENEKO   CERNUDA GARCIA, CARLOS   SKOCAJ, DANIJEL   ZUGASTI URIGUEN, EKHI  

Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation

ARTICULO  |  Energies. Vol. 16. N. 8. N. art. 3567

Urtea: 2023  |  ISBN/ISSN: 1996-1073 (online)

Egilea: BARBER, SARAH   MILANI, ALI EFTEKHARI   ZUGASTI URIGUEN, EKHI   OLAIZOLA ALBERDI, JON   SERRADILLA CASADO, OSCAR   IZAGIRRE AIZPITARTE, UNAI   AIZPURUA UNANUE, JOSE IGNACIO   HENDERSON, CHARLES   SAKAGAMI, YOSHIAKI   SEHNKE, FRANK  

Diagnostic spatio-temporal transformer with faithful encoding

ARTICULO  |  Knowledge-Based Systems.Vol. 274, N. art. 110639

Urtea: 2023  |  ISBN/ISSN: 0950-7051 (papel)

Egilea: LABAIEN SOTO, JOKIN   ZUGASTI URIGUEN, EKHI   CARLOS, XABIER DE   CHEN, PIN-YU   IDE, TSUYOSHI  

Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders

ARTICULO  |  Applied Sciences. Vol. 13. N. 5. N. artículo 2912,

Urtea: 2023  |  ISBN/ISSN: 2076-3417

Egilea: LABAIEN SOTO, JOKIN   DE CARLOS GARCIA, XABIER   ZUGASTI URIGUEN, EKHI  

Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models

ARTICULO  |  Composites Part B: Engineering. Vol. 260. N. art. 110790,

Urtea: 2023  |  ISBN/ISSN: 1359-8368

Egilea: MENDICUTE SAN MARTIN, JULEN   AURREKOETXEA NARBARTE, ION   ZUGASTI URIGUEN, EKHI   LLAVORI OSA, IÑIGO   BASKARAN RAZKIN, MAIDER   ARETXABALETA RAMOS, LAURENTZI  

Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects

ARTICULO  |  Applied intelligence. Vol. 52. Pp. 10934–10964. August,

Urtea: 2022  |  ISBN/ISSN: 1573-7497

Egilea: SERRADILLA CASADO, OSCAR   RODRÍGUEZ BRETON, JON   ZUGASTI URIGUEN, EKHI   ZURUTUZA ORTEGA, URKO  

Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge

ARTICULO  |  International Journal of Computer Integrated Manufacturing. Vol. 35. N. 12. Pp. 1310-1334,

Urtea: 2022  |  ISBN/ISSN: 1362-3052 online

Egilea: SERRADILLA CASADO, OSCAR   ZUGASTI URIGUEN, EKHI   RAMÍREZ DE OKARIZ, JULIAN   RODRÍGUEZ BRETON, JON   ZURUTUZA ORTEGA, URKO  

Impregnation quality diagnosis in Resin Transfer Moulding by machine learning

ARTICULO  |  Composites Part B: Engineering. Vol. 221. N. artículo 108973,

Urtea: 2021  |  ISBN/ISSN: 1359-8368

Egilea: MENDICUTE SAN MARTIN, JULEN   ZUGASTI URIGUEN, EKHI   AURREKOETXEA NARBARTE, ION   BASKARAN RAZKIN, MAIDER   PLAZAOLA MADINABEITIA, JOANES   ARETXABALETA RAMOS, LAURENTZI  

Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data

ARTICULO  |  Applied Sciences. Vol. 11. N. 16. N. artículo 7376,

Urtea: 2021  |  ISBN/ISSN: 2076-3417

Egilea: SERRADILLA CASADO, OSCAR   ZUGASTI URIGUEN, EKHI   RAMÍREZ DE OKARIZ, JULIAN   RODRÍGUEZ, JON   ZURUTUZA ORTEGA, URKO  

Contrastive explanations for a deep learning model on time-series data

ARTICULO  |  Lecture Notes in Computer Science. Vol. 12393. Pp. 235-244,

Urtea: 2020  |  ISBN/ISSN: 0302-9743

Egilea: LABAIEN, JOKIN   ZUGASTI URIGUEN, EKHI   DE CARLOS GARCIA, XABIER  

Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery

COMUNICACION_CONGRESO  |  2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom. Conference Proceedings. IEEE,

Urtea: 2020  |  ISBN/ISSN: 978-1-7281-6932-3

Egilea: SERRADILLA CASADO, OSCAR   ZUGASTI URIGUEN, EKHI   CERNUDA GARCIA, CARLOS   ARANBURU IRASTORZA, ANDOITZ   RAMIREZ DE OKARIZ TELLERIA, IÑIGO   ZURUTUZA ORTEGA, URKO  

A Big Data implementation of the MANTIS Reference Architecture for Predictive Maintenance

ARTICULO  |  Journal of Systems and Control Engineering (Proceedings of the Institution of Mechanical Engineers, Part I). Sage. Vol. 233. N. 10. Pp. 1361-1375,

Urtea: 2019  |  ISBN/ISSN: Online 20413041

Egilea: LARRINAGA BARRENECHEA, FELIX   GARITANO GARITANO, IÑAKI   ZUGASTI URIGUEN, EKHI   ZURUTUZA ORTEGA, URKO   OLAIZOLA ALBERDI, JON   ANASAGASTI, MIKEL   FERNANDEZ ANAKABE, JAVIER   MONDRAGON, MIKEL  

Success Stories on Real Pilots

LIBRO_CAPITULO  |  The MANTIS Book. Cyber Physical System Based Proactive Collaborative Maintenance. Editors, Michele Albano, Erkki Jantunen, Gregor Papa, Urko Zurutuza. Pp 311-496. River Publishers,

Urtea: 2018  |  ISBN/ISSN: Print 9788793609853

Egilea: SOCORRO, RAFAEL   ANASAGASTI, MIKEL   OLAIZOLA ALBERDI, JON   MOLDOVÁN, ISTVÁN   MONDRAGON, MIKEL   MARTINHO, DIEGO   MARTÍNEZ, EVA   MALÓ, PEDRO   LARRINAGA BARRENECHEA, FELIX   KAIJA, MATTI   JANTUNEN, ERKKI   ALBANO, MICHELE   HELO, PETRI   HERNÁNDEZ, SILVIA   HEGEDÜS, CSABA   GRÄDLER, MATHIAS   GIJSBERS, JEROEN   GARCÍA, RAQUEL   GABILONDO, IOSU   LINO FERREIRA, LUIS   FERNANDEZ ANAKABE, JAVIER   AKÇAY, ALP   ESPOSITO, SALVATORE   EGUILUZ, XABIER   EERLAND, KAREL   ORIO, GIOVANNI DI   DAM, PAULIEN   CIANCARINI, PAOLO   CHICO, DAVID   CASAIS, RUI   BOOSTEN, MARCEL   BRABANDERE, KAREL DE   AGUIRREGABIRIA, MARÍA   FRANKÓ, ATTILA   BERGMANN, ANSGAR   BARRUTIA INZA, IBAN   BARBIERI, MAURO   ZURUTUZA ORTEGA, URKO   ZUGASTI URIGUEN, EKHI   ARANBURU, ANDOITZ   VARGA, PAL   SILLITTI, ALBERTO   SAIZ, EDUARDO   PRONK, VERUS   PRIMI, STEFANO   PRAÇA, ISABEL   POKLUKAR, SPELA   PAPA, GREGOR  

Providing Proactiveness: Data Analysis Techniques Portfolios

LIBRO_CAPITULO  |  The MANTIS Book. Cyber Physical System Based Proactive Collaborative Maintenance. Editors, Michele Albano, Erkki Jantunen, Gregor Papa, Urko Zurutuza. Pp 145-232. River Publishers,

Urtea: 2018  |  ISBN/ISSN: Print 9788793609853

Egilea: SILLITTI, ALBERTO   THEODORSEN, SØREN   OKAFOR, EMMANUEL   REBELO DE SÁ, CLÁUDIO   ROMERO, RICARDO   SARR, BABACAR   SCHOMAKER, LAMBERT   BASURKO, JON   SHEKAR, ARVIND KUMAR   SOARES, CARLOS   SPRONG, HANS   DAM, PAULIEN   ZUGASTI URIGUEN, EKHI   ZUBALIY, ANDRIY   YANG, YI   WEBERS, GODFRIED   URCHEGUI, GORKA   TOURWÉ, TOM   FERNANDEZ ANAKABE, JAVIER   HOOGHOUDT, JAN-OTTO   LECUONA MUGICA, IÑIGO   LETURIONDO, URKO   MARCELIS, QUINTEN   MOLDOVÁN, ISTVÁN   FERREIRO, SUSANA   ZURUTUZA ORTEGA, URKO   FERREIRA, HUGO   GIJSBERS, JEROEN   HE, SHENG   HEGEDűS, CSABA   HOLENDERSKI, MIKE  

Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments

COMUNICACION_CONGRESO  |  2018 Global Internet of Things Summit, GIoTS. Pp. 104-109. IEEE,

Urtea: 2018  |  ISBN/ISSN: 9781538664513

Egilea: ZUGASTI URIGUEN, EKHI   ITURBE URRETXA, MIKEL   GARITANO GARITANO, IÑAKI   ZURUTUZA ORTEGA, URKO  

Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance

COMUNICACION_CONGRESO  |  International Conference on Control, Decision and Information Technologies (CoDIT). Thessaloniki. 10-13 April 2018. Pp. 773-778. Institute of Electrical and Electronics Engineers,

Urtea: 2018  |  ISBN/ISSN: 9781538650653

Egilea: LARRINAGA BARRENECHEA, FELIX   ZURUTUZA ORTEGA, URKO   GARITANO GARITANO, IÑAKI   ZUGASTI URIGUEN, EKHI   FERNANDEZ ANAKABE, JAVIER  

MEDEA: Monitorizando el espacio nulo para la detección de anomalías en sistemas industriales

COMUNICACION_CONGRESO  |  Actas de la XV Reunión Española de Criptología y Seguridad de la Información (RECSI). Granada. 3-5 octubre. Pp. 212- 216. Universidad de Granada,

Urtea: 2018  |  ISBN/ISSN: 9788409024636

Egilea: ZUGASTI URIGUEN, EKHI   ZURUTUZA ORTEGA, URKO   ITURBE URRETXA, MIKEL   GARITANO GARITANO, IÑAKI  

Feature Selection - Extraction Methods based on PCA and Mutual Information to improve Damage Detection problem in Offshore Wind Turbines

ARTICULO  |  Key Engineering Materials. Vol. 569-570. Pp. 620-627. July,

Urtea: 2013  |  ISBN/ISSN: 10139826

Egilea: ZUGASTI URIGUEN, EKHI   MARTÍNEZ, FERNANDO   ANDUAGA SALVATIERRA, JAVIER   MUJICA, LUIS E.  

Damage Identification in a Laboratory Offshore Wind Turbine Demonstrator

ARTICULO  |  Key Engineering Materials. Vol. 569-570. Pp. 555-562. July,

Urtea: 2013  |  ISBN/ISSN: 10139826

Egilea: GONZÁLEZ GÓMEZ, ANA   ZUGASTI URIGUEN, EKHI   ANDUAGA SALVATIERRA, JAVIER  

A Comparative Assessment of Two SHM Damage Detection Methods in a Laboratory Tower

ARTICULO  |  Advances in Science and Technology. Vol. 83. Pp. 232-239. September,

Urtea: 2012

Egilea: ZUGASTI URIGUEN, EKHI   ARREGUI, MIGUEL ÁNGEL   MARTÍNEZ, FERNANDO   GÓMEZ GONZÁLEZ, ANA   ANDUAGA SALVATIERRA, JAVIER  

NullSpace and AutoRegressive damage detection: a comparative study

ARTICULO  |  Smart Materials and Structures. V. 21. N. 8,

Urtea: 2012  |  ISBN/ISSN: 0964-1726

Egilea: ZUGASTI URIGUEN, EKHI   MARTÍNEZ, F   ANDUAGA SALVATIERRA, JAVIER   GÓMEZ GONZÁLEZ, A.   ARREGUI VICENTE, MIGUEL ANGEL  

Grupo de Sistemas Inteligentes para Sistemas Industriales

COMPETITIVO

Hasiera Data:  2021-01-01  |  Amaiera Data:  2025-12-31

Finantzaketa: 

Parte-hartzea: 

Egilea: ZUGASTI URIGUEN, EKHI ()  

Técnicas de inteligencia artificial para detectar piezas defectuosas

COMPETITIVO

Hasiera Data:  2018-03-01  |  Amaiera Data:  2019-12-31

Finantzaketa: Gobierno Vasco

Parte-hartzea: EDERTEK, S. COOP.;MONDRAGON GOI ESKOLA POLITEKNIKOA JOSE Mª ARIZMENDIARRIETA, S. COOP.

Egilea: CERNUDA GARCIA, CARLOS (INVEST)   AGUIRRE ORTUZAR, AITOR (INVEST)   ZUGASTI URIGUEN, EKHI (INVEST)   EZPELETA GALLASTEGI, ENAITZ (INVEST)   Zurutuza Ortega, Urko (INVEST)  

Análisis de escenarios para monitorización de lineas de montaje

CONTRATO

Hasiera Data:  2017-01-01  |  Amaiera Data:  2017-05-01

Finantzaketa: 

Parte-hartzea: 

Egilea: ZUGASTI URIGUEN, EKHI (INVEST)  

Diagnosis y Monitorización VibroAcústica

CONTRATO

Hasiera Data:  2017-01-01  |  Amaiera Data:  2017-05-03

Finantzaketa: 

Parte-hartzea: 

Egilea: ZUGASTI URIGUEN, EKHI (INVEST)  

CONAMON4.0 - control avanzado y monitorización para la industria 4.0 [MON]

COMPETITIVO

Hasiera Data:  2016-01-01  |  Amaiera Data:  2017-05-01

Finantzaketa: Gipuzkoako Foru Aldundia

Parte-hartzea: 

Egilea: ZUGASTI URIGUEN, EKHI (INVEST)  

ELKARTEK 2016 - ALCON4.0 -Algoritmos de control avanzados para lineas de montaje 4.0

COMPETITIVO

Hasiera Data:  2016-01-01  |  Amaiera Data:  2017-04-01

Finantzaketa: Eusko Jaurlaritza - KK-2016/00016

Parte-hartzea: 

Egilea: ZUGASTI URIGUEN, EKHI (INVEST)  

P02 - Observador de Hueco MTM avanzado

CONTRATO

Hasiera Data:  2015-04-01  |  Amaiera Data:  2017-04-01

Finantzaketa: 

Parte-hartzea: 

Egilea: ZUGASTI URIGUEN, EKHI (INVEST)  

Fatiga en rodamientos de grandes dimensiones

CONTRATO

Hasiera Data:  2015-01-04  |  Amaiera Data:  2017-04-01

Finantzaketa: 

Parte-hartzea: 

Egilea: ZUGASTI URIGUEN, EKHI (INVEST)  

Design and validation of a methodology for wind energy structures health monitoring

Irakurtze data:  2014-01-16

Zuzendaria:

Egilea: ZUGASTI URIGUEN, EKHI  

Towards interpretability of machine learning algorithms and techniques for anomaly detection in industrial domains.

Irakurtze data:  2023-11-08

Egilea: Labaien Soto, Jokin

Zuzendaria: ZUGASTI URIGUEN, EKHI  

Design and validation of a methodology to implement data-driven predictive maintenance in industrial environments

Irakurtze data:  2022-01-18

Egilea: Oscar Serradilla

Zuzendaria: ZUGASTI URIGUEN, EKHI  

An Attribute Oriented Induction based methodology to aid in Predictive Maintenance: Anomaly Detection, Root Cause Analysis and Remaining Useful Life

Irakurtze data:  2020-02-18

Egilea: Javier Fernandez Anakabe

Zuzendaria: ZUGASTI URIGUEN, EKHI  

Deep learning vision approach for semi-supervised defect detection in manufacturing industry

Irakurtze data: 

Egilea: Intxausti Arbaiza, Eneko

Zuzendaria: CERNUDA GARCIA, CARLOS   ZUGASTI URIGUEN, EKHI  

Towards Probabilistic model optimization

Irakurtze data: 

Egilea: Jokin Alzibar

Zuzendaria: ZUGASTI URIGUEN, EKHI