| Adaptive power transformer lifetime predictions through machine learning and uncertainty modeling in nuclear power plants JI Aizpurua, SDJ McArthur, BG Stewart, B Lambert, JG Cross, ... IEEE Transactions on Industrial Electronics 66 (6), 4726-4737, 2018 | 125 | 2018 |
| Uncertainty-aware dynamic reliability analysis framework for complex systems S Kabir, M Yazdi, JI Aizpurua, Y Papadopoulos IEEE Access 6, 29499-29515, 2018 | 94 | 2018 |
| Power transformer dissolved gas analysis through Bayesian networks and hypothesis testing JI Aizpurua, VM Catterson, BG Stewart, SDJ McArthur, B Lambert, ... IEEE Transactions on Dielectrics and Electrical Insulation 25 (2), 494-506, 2018 | 67 | 2018 |
| Supporting group maintenance through prognostics-enhanced dynamic dependability prediction JI Aizpurua, VM Catterson, Y Papadopoulos, F Chiacchio, D D'Urso Reliability Engineering and System Safety, 2017 | 67 | 2017 |
| Towards a methodology for design of prognostic systems JI Aizpurua, VM Catterson Annual conference of the phm society 7 (1), 2015 | 56 | 2015 |
| Model-based design of dependable systems: limitations and evolution of analysis and verification approaches JI Aizpurua, E Muxika International Journal on Advances in Security 6 (1), 2013 | 55 | 2013 |
| A model-based hybrid approach for circuit breaker prognostics encompassing dynamic reliability and uncertainty JI Aizpurua, VM Catterson, IF Abdulhadi, M Segovia Garcia IEEE Transactions on Systems Man and Cybernetics: Systems, 2017 | 45 | 2017 |
| Improved power transformer condition monitoring under uncertainty through soft computing and probabilistic health index JI Aizpurua, BG Stewart, SDJ McArthur, B Lambert, JG Cross, ... Applied Soft Computing 85, 105530, 2019 | 38 | 2019 |
| A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems M Penalba, JI Aizpurua, A Martinez-Perurena, G Iglesias Renewable and Sustainable Energy Reviews 167, 112751, 2022 | 37 | 2022 |
| Dynamic performance evaluation of photovoltaic power plant by stochastic hybrid fault tree automaton model F Chiacchio, F Famoso, D D’Urso, S Brusca, JI Aizpurua, L Cedola Energies 11 (2), 306, 2018 | 37 | 2018 |
| A model-based extension to HiP-HOPS for dynamic fault propagation studies S Kabir, Y Papadopoulos, M Walker, D Parker, JI Aizpurua, J Lampe, ... Model-Based Safety and Assessment: 5th International Symposium, IMBSA 2017 …, 2017 | 34 | 2017 |
| Improved dynamic dependability assessment through integration with prognostics JI Aizpurua, VM Catterson, Y Papadopoulos, F Chiacchio, G Manno IEEE Transactions on Reliability 66 (3), 893-913, 2017 | 33 | 2017 |
| On the use of dynamic reliability for an accurate modelling of renewable power plants F Chiacchio, D D’Urso, F Famoso, S Brusca, JI Aizpurua, VM Catterson Energy 151, 605-621, 2018 | 28 | 2018 |
| Shyftoo, an object-oriented monte carlo simulation library for the modeling of stochastic hybrid fault tree automaton F Chiacchio, JI Aizpurua, L Compagno, D D'Urso Expert Systems with Applications 146, 113139, 2020 | 25 | 2020 |
| Uncertainty-aware fusion of probabilistic classifiers for improved transformer diagnostics JI Aizpurua, VM Catterson, BG Stewart, SDJ McArthur, B Lambert, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (1), 621-633, 2018 | 20 | 2018 |
| Modelling and resolution of dynamic reliability problems by the coupling of simulink and the stochastic hybrid fault tree object oriented (SHyFTOO) library F Chiacchio, JI Aizpurua, L Compagno, S Moheb Khodayee, D D’Urso Information 10 (9), 283, 2019 | 19 | 2019 |
| Coherence region of the Priority‐AND gate: Analytical and numerical examples F Chiacchio, JI Aizpurua, D D'Urso, L Compagno Quality and Reliability Engineering International 34 (1), 107-115, 2018 | 17 | 2018 |
| Application of the D3H2 methodology for the cost-effective design of dependable systems JI Aizpurua, E Muxika, Y Papadopoulos, F Chiacchio, G Manno Safety 2 (2), 9, 2016 | 14 | 2016 |
| Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study JI Aizpurua, BG Stewart, SDJ McArthur, M Penalba, M Barrenetxea, ... Reliability Engineering & System Safety 226, 108676, 2022 | 13 | 2022 |
| On the definition of a risk index based on long-term metocean data to assist in the design of Marine Renewable Energy systems M Penalba, JI Aizpurua, A Martinez-Perurena Ocean Engineering 242, 110080, 2021 | 12 | 2021 |
Victoria M. CattersonInstitute for Energy and Environment, University of Strathclyde在 strath.ac.uk 的电子邮件经过验证
