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A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty
(IEEE, 2020)
Power cables are critical assets for the reliable operation of the grid. The cable lifetime is generally estimated from the conductor temperature and associated lifetime reduction.
However, these tasks are intricate due ...
Context-informed conditional anomaly detection approach for wave power plants: The case of air turbines
(Elsevier, 2022)
The reliability and energy production of wave power plants (WPPs) depend on sea-state conditions, operation efficiency and degradation of its constituent assets. Air turbines are key assets for the efficient and reliable ...
Hybrid Transformer Prognostics Framework for Enhanced Probabilistic Predictions in Renewable Energy Applications
(IEEE, 2022)
The intermittent nature of renewable energy sources (RESs) hamper their integration to the grid. The stochastic and rapid-changing operation of RES technologies impact on power equipment reliability. Transformers are key ...
Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study
(Elsevier Ltd., 2022)
The energy transition towards resilient and sustainable power plants requires moving from periodic health assessment to condition-based lifetime planning, which in turn, creates new challenges and opportunities for health ...
On the definition of a risk index based on long-term metocean data to assist in the design of Marine Renewable Energy systems
(Elsevier Ltd, 2021)
Marine Renewable Energy (MRE) systems are designed to maximise energy generation and ensure survivability. The traditional design process is based on pure environmental conditions, tends to be too conservative and limits ...
Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics
(Elsevier, 2023)
In the transition towards more sustainable ships, electric motors (EM) are being used in ship propulsion systems to reduce emissions and increase efficiency. The safe operation of ships is crucial, and prognostics and ...
A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems
(Elsevier, 2022)
The potential of Marine Renewable Energy (MRE) systems is usually evaluated based on recent metocean data and assuming the stationarity of the MRE resource. Yet, different studies in the literature have shown long-term ...
Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation
(MDPI, 2023)
In this paper, a set of best practice data sharing guidelines for wind turbine fault detection model evaluation is developed, which can help practitioners overcome the main challenges of digitalisation. Digitalisation is ...
On the Definition of a Comprehensive Technology-Informed Accessibility Metric for Offshore Renewable Energy Site Selection
(MDPI, 2023)
Despite the important role of offshore renewable energies (OREs) in the energy transition, the economical viability is still unclear. Therefore, an appropriate site selection is crucial. Besides the energy potential, the ...