Joxe Aizpurua

Ikerbasque Research Fellow, UPV/EHU

Ikerbasque Research Fellow at UPV/EHU

Research line:

Dependability engineering (reliability, availability, maintenance, safety), prognostics and health management applied to power and energy systems.

Best Paper Award DEPEND (2012), SRUK/Bizkaia Talent Young Basque Investigator Award (2nd place, 2017), Juan de la Cierva Postdoctoral Fellowship (2020), Ramón y Cajal Fellowship

Previous research experience at: University of Hull (Kingston upon Hull, UK), University of Strathclyde (Glasgow, UK), Shanghai University of Electric Power (Shanghai, China).

Ph.D. in Information and Communication Technologies (2015), Mondragon Unibertsitatea.

2024

Article / Probabilistic feature selection for improved asset lifetime estimation in renewables. Application to transformers in photovoltaic power plants

Engineering Applications of Artificial Intelligence

Ibai Ramirez, Jose I. Aizpurua, Iker Lasa, Luis del Rio

Article / Probabilistic feature selection for improved asset lifetime estimation in renewables. Application to transformers in photovoltaic power plants

Engineering Applications of Artificial Intelligence

Ramirez, I.; Aizpurua, J.I.; Lasa, I.; del Rio, L.

Article / Impact of operations and maintenance on the energy production of floating offshore wind farms across the North Sea and the Iberian Peninsula

Renewable Energy

Centeno-Telleria, M.; Yue, H.; Carrol, J.; Penalba, M.; Aizpurua, J.I.

Article / O&M-aware techno-economic assessment for floating offshore wind farms: A geospatial evaluation off the North Sea and the Iberian Peninsula

Applied Energy

Centeno-Telleria, M.; Yue, H.; Carrol, J.; Aizpurua, J.I.; Penalba, M.

Article / Uncertainty Distribution Assessment of Jiles-Atherton Parameter Estimation for Inrush Current Studies

IEEE Transactions on Power Delivery

Ugarte Valdivielso, J.; Aizpurua, J.I.; Inarra, M.B.

2023

Article / Probabilistic machine learning aided transformer lifetime prediction framework for wind energy systems

International Journal of Electrical Power and Energy Systems

Aizpurua, J.I.; Peña-Alzola, R.; Olano, J.; Ramirez, I.; Lasa, I.; del Rio, L.; Dragicevic, T.

Article / On the Definition of a Comprehensive Technology-Informed Accessibility Metric for Offshore Renewable Energy Site Selection

Journal of Marine Science and Engineering

Konuk, E.B.; Centeno-Telleria, M.; Zarketa-Astigarraga, A.; Aizpurua, J.I.; Giorgi, G.; Bracco, G.; Penalba, M.

Article / Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics

Ocean Engineering

Aizpurua, J.I.; Knutsen, K.E.; Heimdal, M.; Vanem, E.

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

Energies

Barber, S.; Izagirre, U.; Serradilla, O.; Olaizola, J.; Zugasti, E.; Aizpurua, J.I.; Milani, A.E.; Sehnke, F.; Sakagami, Y.; Henderson, C.

Article / Hybrid Transformer Prognostics Framework for Enhanced Probabilistic Predictions in Renewable Energy Applications

IEEE Transactions on Power Delivery

Aizpurua, J.I.; Ramirez, I.; Lasa, I.; Rio, L.D.; Ortiz, A.; Stewart, B.G.

Article / Computationally efficient analytical O&M model for strategic decision-making in offshore renewable energy systems

Energy

Centeno-Telleria, M.; Aizpurua, J.I.; Penalba, M.

2022

Article / A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems

Renewable and Sustainable Energy Reviews

Penalba, M.; Aizpurua, J.I.; Martinez-Perurena, A.; Iglesias, G.

Article / Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study

Reliability Engineering and System Safety

Aizpurua, J.I.; Stewart, B.G.; McArthur, S.D.J.; Penalba, M.; Barrenetxea, M.; Muxika, E.; Ringwood, J.V.

Article / Context-informed conditional anomaly detection approach for wave power plants: The case of air turbines

Ocean Engineering

Aizpurua, J.I.; Penalba, M.; Kirillova, N.; Lekube, J.; Marina, D.

2021

Article / On the definition of a risk index based on long-term metocean data to assist in the design of Marine Renewable Energy systems

Ocean Engineering

M. Peñalba, Jose I. Aizpurua, Ander Martinez-Perurena

Article / On the definition of a risk index based on long-term metocean data to assist in the design of Marine Renewable Energy systems

Ocean Engineering

Penalba, M.; Aizpurua, J.I.; Martinez-Perurena, A.

2020

Chapter / Towards a high-fidelity simulation environment for structural integrity assessment of floating wind energy platforms

Developments in Renewable Energies Offshore - Proceedings of the 4th International Conference on Renewable Energies Offshore

Iñigo Souto-Canteli, Markel Penalba, Manex Martinez-Agirre, Mikel Ezkurra, Jon-Ander Esnaola, Iñigo Llavori, Joxe Aizpurua

Article / A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty

IEEE Transactions on Power Delivery

Aizpurua, Jose Ignacio; Stewart, Brian; McArthur, Stephen; Jajware, Nitin; Kearns, Martin; Garro, Unai; Muxika, Eñaut; Mendicute, Mikel

2024

Conference paper | Towards a Probabilistic Fusion Approach for Robust Battery Prognostics

Jokin Alcibar, Jose I. Aizpurua and Ekhi Zugasti

2023

Conference paper | Towards a probabilistic error correction approach for improved drone battery health assessment

Jokin Alcibar, Jose I. Aizpurua, Ekhi Zugasti, Carmen Alonso and Ibon Diez

Conference paper | Towards a Probabilistic Error Correction Approach for Improved Drone Battery Health Assessment

Jokin Alcibar, Jose I. Aizpurua, Ekhi Zugasti, Carmen Alonso and Ibon Diez

2022

Conference paper | Analytical O&M Model for floating offshore wind turbines: sensibility of the deployment site

Centeno, M., Aizpurua, J.I., Penalba, M.

Conference Paper | Impact of accessibility on O&M of floating offshore wind turbines: Sensitivity of the deployment site

Trends in Renewable Energies Offshore - Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022 - Conference Paper

Centeno-Telleria, M.; Aizpurua, J.I.; Penalba, M.

Conference Paper | Uncertainty Analysis of Two Gas Measurement DGA Ratios for Improved Diagnostics Applications

2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022 - Conference Paper

Stewart, B.G.; Aizpurua, J.I.

Conference Paper | Towards an improved feature-selection approach for oil-immersed transformer top-oil temperature calculation

ARWtr 2022 - Proceedings: 2022 7th Advanced Research Workshop on Transformers - Conference Paper

Ramirez, I.; Aizpurua, J.I.; Lasa, I.; Del Rio, L.; Ortiz, A.

Conference Paper | Reliability simulation of a multi-state Wind Turbine Generator using SHyFTOO

21st International Conference on Modeling and Applied Simulation, MAS 2022 - Conference Paper

Khodayee, S.M.; Oliveri, L.; Aizpurua, J.I.; D'Urso, D.; Chiacchio, F.

Poster presentation | Computationally Efficient and Holistic Analytical O&M Model for Ocean Renewable Energy

Centeno, M., Aizpurua, J.I., Penalba, M.

2021

Conference paper | Building an Air Turbine Conditional Anomaly Detection Approach for Wave Power Plants

Jose I. Aizpurua, M. Peñalba, N. Kirillova, I. Alcorta, J. Lekube and D. Marina

Conference paper | Neurosingular Machines: New Results

Kirillov, A., Kirillov, S., Aizpurua, J. I., Penalba, M., Kirillova, N. and Pecht, M

Conference paper | Machine learning based long-term forecasting of metocean data for the design of marine renewable energy systems

Ander Martinez-Perurena; Markel Peñalba, Joxe Aizpurua

2020

Conference paper | Towards a Design Framework for Maritime Asset Servitization

Markus Heimdal, Knut Erik Knutsen and Joxe Aizpurua

Conference Paper | Towards a high-fidelity simulation environment for structural integrity assessment of floating wind energy platforms

Developments in Renewable Energies Offshore - Proceedings the 4th International Conference on Renewable Energies Offshore, RENEW 2020 - Conference Paper

Souto-Canteli, I.; Penalba, M.; Martinez-Agirre, M.; Ezkurra, M.; Esnaola, J.A.; Llavori, I.; Aizpurua, J.I.