Publikationen in Zusammenarbeit mit Forschern von University of Strathclyde (37)

2025

  1. Assessing heavy maintenance alternatives for floating offshore wind farms: Towing vs. onsite replacement strategies

    Applied Energy, Vol. 377

  2. Sensitivity analysis of major replacement rates and costs for floating wind farms

    Innovations in Renewable Energies Offshore - Proceedings of the 6th International Conference on Renewable Energies Offshore, RENEW 2024

2024

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

    Renewable Energy, Vol. 224

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

    Applied Energy, Vol. 371

2023

  1. Hybrid Transformer Prognostics Framework for Enhanced Probabilistic Predictions in Renewable Energy Applications

    IEEE Transactions on Power Delivery, Vol. 38, Núm. 1, pp. 599-609

  2. Probabilistic machine learning aided transformer lifetime prediction framework for wind energy systems

    International Journal of Electrical Power and Energy Systems, Vol. 153

2022

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

    Reliability Engineering and System Safety, Vol. 226

  2. Uncertainty Analysis of Two Gas Measurement DGA Ratios for Improved Diagnostics Applications

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

2021

  1. Uncertainty-Aware Fusion of Probabilistic Classifiers for Improved Transformer Diagnostics

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 51, Núm. 1, pp. 621-633

2020

  1. Explicit Modelling and Treatment of Repair in Prediction of Dependability

    IEEE Transactions on Dependable and Secure Computing, Vol. 17, Núm. 6, pp. 1147-1162

2019

  1. Adaptive Power Transformer Lifetime Predictions Through Machine Learning and Uncertainty Modeling in Nuclear Power Plants

    IEEE Transactions on Industrial Electronics, Vol. 66, Núm. 6, pp. 4726-4737

  2. FPGA-based degradation and reliability monitor for underground cables

    Sensors (Switzerland), Vol. 19, Núm. 9

  3. Improved power transformer condition monitoring under uncertainty through soft computing and probabilistic health index

    Applied Soft Computing, Vol. 85

  4. Probabilistic Power Transformer Condition Monitoring in Smart Grids

    ARWtr 2019 - Proceedings: 2019 6th Advanced Research Workshop on Transformers

  5. Towards a Hybrid Power Cable Health Index for Medium Voltage Power Cable Condition Monitoring

    2019 IEEE Electrical Insulation Conference, EIC 2019

  6. Towards a data analytics framework for medium voltage power cable lifetime management

    11th Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2019

2018

  1. A Model-Based Hybrid Approach for Circuit Breaker Prognostics Encompassing Dynamic Reliability and Uncertainty

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 48, Núm. 9, pp. 1637-1648

  2. Coherence region of the Priority-AND gate: Analytical and numerical examples

    Quality and Reliability Engineering International, Vol. 34, Núm. 1, pp. 107-115

  3. Dynamic performance evaluation of photovoltaic power plant by stochastic hybrid fault tree automaton model

    Energies, Vol. 11, Núm. 2

  4. On the use of dynamic reliability for an accurate modelling of renewable power plants

    Energy, Vol. 151, pp. 605-621