[C44] Ramirez, I, Alcibar, J., Pino, J., Sanz, M., Pardo, D. Aizpurua, JI., (October 2025). Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics. In: Annual Conference of the Prognostics & Health Management (PHM) Society, Bellevue (USA).
[C43] Aizpurua, JI., (October 2025). Physics-Informed Machine Learning for Transformer Condition Monitoring – Part II: Physics-Informed Neural Networks and Uncertainty Quantification. In: IEEE 8th International Advanced Research Workshop on Transformers (ARWtr), Baiona (Spain).
[C42] Aizpurua, JI., (October 2025). Physics-Informed Machine Learning for Transformer Condition Monitoring – Part I: Basic Concepts, Neural Networks, and Variants. In: IEEE 8th International Advanced Research Workshop on Transformers (ARWtr), Baiona (Spain).
[C41] Ugarte, J., Barrenetxea, M., Torres, A., Stewart, B., Aizpurua, JI., (October 2025). Power transformer modelling for the evaluation of a reinforcement learning-based inrush current minimization strategy. In: IEEE 8th International Advanced Research Workshop on Transformers (ARWtr), Baiona (Spain) - Student Grant Award
[C40] Ugarte, J., Barrenetxea, M., and Aizpurua, J.I., (May 2025). Probability-Box Informed Hysteresis Modelling through Metaheuristic Search Algorithms. In: XVI Spanish Conference on Metaheuristics, Evolutionary and Bioinspired Algorithms, Donostia-San Sebastian (Spain).
[C39] Centeno-Telleria, M., Carrol, J., Aizpurua, J.I., Penalba, M. (April 2025). Onsite Major Components Replacement Strategy for Floating Offshore Wind: Breaking Down the Known-Unknowns. In: Wind Europe, Copenhangen (Denmark) - Poster Award
[C38] Pino, J., Ramirez, I., Pardo, D., Sanz, M., and Aizpurua, J.I., (April 2025). Physics Informed Neural Networks for Thermal Insulation Material Ageing Estimation. In: Artificial Intelligence for Advanced Materials, Donostia-San Sebastian (Spain).
[C37] Alcibar, J., Zugasti, E., Aguirre, A., and Aizpurua, J.I., (Dec. 2024). Probabilistic Fusion Approach for Robust Battery Prognostics. In: NeurIPS workshop on Bayesian Decision-making and Uncertainty, Vancouver (Canada).
[C36] Centeno, M., Jenkins, B., Carroll, J. Aizpurua, J.I., and Penalba, M., (Nov. 2024). Sensitivity analysis of major replacement rates and costs for floating wind farms In: International Conference on Renewable Energies Offshore (RENEW), Lisbon (Portugal).
[C35] Alcibar, J. Aizpurua, J.I., and Zugasti, E., (July. 2024). Towards a Probabilistic Fusion Approach for Robust Battery Prognostics. In: European Conference of the Prognostics & Health Management Society, Prague (Czech Republic).
[C34] Aizpurua, J.I., Villalobos, A., Barrutia, I. and Peña-Alzola, R. (June 2024). Temporal Fusion Transformers for Semiconductor Ageing Forecasting. In: International Symposium on Forecasting, Dijon (France).
[C33] Aizpurua, J.I., Alcibar, J., Ramirez, I., Pino, J. and Zugasti, E. (May. 2024). A Review of Hybrid Prognostics Methods in Power & Engineering Applications. In: European Safety & Reliability Data Association Workshop (ESReDA), Bilbao (Spain).
[C32] Centeno, M., Yue, H., Carroll, J., Aizpurua, J.I., and Penalba, M. (March 2024). Assessing tow-to-port strategy: Is it Holding Back the Future of Floating Offshore Wind? In: Wind Europe, Bilbao (Spain).
[C31] Alcibar, J. Aizpurua, J.I., Zugasti, E., Alonso, C. Diez, I. (Sept. 2023). Towards a probabilistic error correction approach for improved drone battery health assessment. In: European Safety & Reliability (ESREL) Conference, Southampton (UK).
[C30] Centeno, M. Aizpurua, J.I., Penalba, M. (Nov. 2022). Analytical O&M Model for floating offshore wind turbines: sensibility of the deployment site. In: International Conference on Renewable Energies Offshore (RENEW), Lisbon (Portugal).
[C29] Ramirez, I., Aizpurua, J.I., Lasa, I., del Rio, L. Ortiz, A. (Oct. 2022). Towards an Improved Feature-Selection Approach for Oil-Immersed Transformer Top-Oil Temperature Calculation. In: IEEE Advanced Research Workshop in Transformers (ARWtr), Baiona (Spain).
[C28] Centeno, M. Aizpurua, J.I., Penalba, M. (Oct. 2022). Computationally Efficient and Holistic Analytical O&M Model for Ocean Renewable Energy. In: International Conference on Ocean Engineering (ICOE), Donostia ( Spain).
[C27] Stewart, B. & Aizpurua, J.I., (Sept. 2022). . In: Analytic Uncertainty Analysis of DGA Ratios for Improved Diagnostics Applications. IEEE International Conference on High-Voltage Engineering (ICHVE), Chongqing (China).
[C26] Khodayee, S. Oliveri, L. Aizpurua, J.I., D'Urso, D. and Chiacchio, F. (Sept. 2022). Reliability simulation of a multi-state Wind Turbine Generator using SHyFTOO. In: International Multidisciplinary Modelling & Simulation Conference (I3M), Rome (Italy).
[C25] Aizpurua, J.I., Penalba, M., Kirillova, N., Alcorta, I., Lekube, J., Marina, D. (Nov. 2021). Building an Air Turbine Conditional Anomaly Detection Approach for Wave Power Plants. In: Annual Conference of the Prognostics and Health Management Society, on-line.
[C24] Martinez-Perurena, A., Penalba, M., Aizpurua, J.I., (Oct. 2021). Machine learning based long-term forecasting of metocean data for the design of marine renewable energy systems. In: 16th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), Dubrovnik, Croatia.
[C23] Kirillov, A., Kirillov, S., Aizpurua, J. I., Penalba, M., Kirillova, N. and Pecht, M. (Sept. 2021). Neurosingular Machines: New Results. In: European Safety & Reliability Conference, ESREL 2021, Angers, France.
[C22] Heimdal, M., K. Knutsen, and Aizpurua, J. I. (Nov. 2020). Towards a Design Framework for Maritime Asset Servitization. In: European Safety & Reliability Conference, ESREL 2020, Venice, Italy.
[C21] Souto,I., Penalba, M., Martinez, M., Ezkurra, M., Esnaola, J., Llavori, I., and Aizpurua, J.I. (Oct. 2020) Towards a High-Fidelity Simulation Environment for Structural Integrity Assessment of Floating Wind Energy Platforms, In: 4th International Conference on Renewable Energies Offshore, RENEW 2020, Lisbon, Portugal.
[C20] Aizpurua, J.I., U. Garro, E. Muxika, M. Mendicute, and I. Gilbert (2019). Towards Dependability and Energy Aware Asset Management Framework for Maintenance Planning in Smart Grids. In: Model-Based Safety and Assessment. Ed. by Y. Papadopoulos, K. Aslansefat, P. Katsaros, and M. Bozzano. Thessaloniki, Greece, Cham: Springer International Publishing, pp.188–203, doi: 10.1007/978-3-030-32872-6_13.
[C19] Aizpurua, J.I., B. G. Stewart, S. D. J. McArthur, N. Jajware, M. Kearns, and S. Banerjee (2019). Towards a Hybrid Power Cable Health Index for Medium Voltage Power Cable Condition Monitoring. In: 2019 IEEE Electrical Insulation Conference (EIC), Calgary, Alberta. doi: 10.1109/EIC43217.2019.9046550
[C18] Aizpurua, J. I., U. Garro, E. Muxika, M. Mendicute, I. P. Gilbert, B. G. Stewart, S. D. J. McArthur, and B. Lambert (Oct. 2019). Probabilistic Power Transformer Condition Monitoring in Smart Grids. In: 2019 6th International Advanced Research Workshop on Transformers (ARWtr), Córdoba, Spain, pp.42–47. doi: 10.23919/ARWtr.2019.8930193.
[C17] Aizpurua, J.I., B. Stewart, S. McArthur, N. Jajware, M. Kearns, and S. Banerjee (Feb. 2019). Towards a Data Analytics Framework for Medium Voltage Power Cable Lifetime Management. In: Nuclear Plant Instrumentation, Control and Human Machine Interface Technologies, Orlando, Florida.
[C16] Aizpurua, J.I., B. Stewart, S. McArthur, B. Lambert, and J. Cross (July 2018). Towards a Comprehensive DGA Health Index. In: 2nd IEEE International Conference on Dielectrics, Budapest, Hungary. doi: 10.1109/ICD.2018.8514697
[C15] D’Urso, D., F. Chiacchio, Aizpurua, J.I., and L. Compagno (June 2018). Performance Assessment of Domestic Photovoltaic Power Plant with a Storage System. In: 16th IFAC Symposium on Information Control Problems in Manufacturing, Bergamo, Italy. doi: 10.1016/j.ifacol.2018.08.408
[C14] Kabir, S., Y. Papadopoulos, M. Walker, D. Parker, Aizpurua, J.I., J. Lampe, and E. Rude (2017). A Model-Based Extension to HiP-HOPS for Dynamic Fault Propagation Studies. In: Model-Based Safety and Assessment - 5th International Symposium, IMBSA 2017, Trento, Italy, September 11-13, 2017, Proceedings, pp.163–178. doi: 10.1007/978-3-319-64119-5_11.
[C13] Aizpurua, J.I., V. Catterson, B. Stewart, S. McArthur, B. Lambert, B. Ampofo, G. Pereira, and J. Cross (Oct. 2017). Selecting Appropriate Machine Learning Classifiers for DGA Diagnosis. In: IEEE Conference on Electrical Insulation and Dielectric Phenomenon, Cancun, Mexico. doi: 10.1109/CEIDP.2017.8257475
[C12] Aizpurua, J.I., V. M. Catterson, B. G. Stewart, S. D. J. McArthur, B. Lambert, B. Ampofo, G. Pereira, and J. G. Cross (June 2017). Improving the accuracy of transformer DGA diagnosis in the presence of conflicting evidence. In: 2017 IEEE Electrical Insulation Conference (EIC), Baltimore, Maryland, pp.286–289. doi: 10.1109/EIC.2017.8004698.
[C11] Aizpurua, J.I., V. Catterson, B. Stewart, S. McArthur, B. Lambert, B. Ampofo, G. Pereira, and J. Cross (June 2017). Determining appropriate data analytics for transformer health monitoring. In: Nuclear Plant Instrumentation, Control and Human Machine Interface Technologies, San Francisco, California.
[C10] Aizpurua, J. I., V. M. Catterson, F. Chiacchio, and D. D’Urso (2016). A cost-benefit approach for the evaluation of prognostics-updated maintenance strategies in complex dynamic systems. In: European Safety & Reliability Conference, ESREL 2016, Glasgow, Scotland. doi: 10.1201/9781315374987-161.
[C09] Aizpurua, J. I. and V. Catterson (July 2016). ADEPS: a methodology for designing prognostic applications. In: Third European Conference of the Prognostics and Health Management Society 2016, Bilbao, pp.86–100.
[C08] Isturiz, A., Aizpurua, J. I., F. Hernandez, A. Iturrospe, E. Muxika, and J. Vinals (July 2016). A data-driven health assessment method for electromechanical actuation systems. In: Third European Conference of the Prognostics and Health Management Society 2016, Bilbao, pp.40–47.
[C07] Aizpurua, J. I. and V. Catterson (Dec. 2015). On the use of Probabilistic Model-Checking for the Verification of Prognostics Applications. In: IEEE Int. Conf. on Intelligent Computing and Information Systems, Cairo, Egypt, pp.7–13. doi: 10.1109/IntelCIS.2015.7397225.
[C06] Aizpurua, J. I. and V. Catterson (Oct. 2015). Towards a Methodology for Design of Prognostics Systems. In: Annual Conf. of the Prognostics and Health Management Society, San Diego, California, Vol. 6.
[C05] Aizpurua, J. I., E. Muxika, G. Manno, and F. Chiacchio (June 2014). Heterogeneous Redundancy Analysis based on Component Dynamic Fault Trees. In: Probabilistic Safety Assessment and Management 12, Honolulu, Hawaii.
[C04] Aizpurua, J. I. and E. Muxika (Sept. 2013). Functionality and Dependability Assurance in Massively Networked Scenarios. In: European Safety and Reliability (ESREL) conference, Amsterdam, Netherlands, CRC Press, pp.1763–1771.
[C03] Aizpurua, J. I. and E. Muxika (Aug. 2012). Dependable Design: Trade-Off Between the Homogeneity and Heterogeneity of Functions and Resources. In: Proceedings of DEPEND 2012, Rome, Italy, pp.13–17.
[C02] Aizpurua, J. I. and E. Muxika (Aug. 2012). Design of Dependable Systems: An Overview of Analysis and Verification Approaches. In: Proceedings of DEPEND 2012, Rome, Italy, pp.4–12.
[C01] Zuriarrain, I., Aizpurua, J.I., F. Lerasle, and N. Arana (Oct. 2010). Multiple-person tracking devoted to distributed multi smart camera networks. In: IEEE Int. Conf. Intelligent Robots and Systems (IROS), Taipei, Taiwan, pp.2469–2474. doi: 10.1109/IROS.2010.5650656.