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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 ...
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 ...
Probabilistic feature selection for improved asset lifetime estimation in renewables. Application to transformers in photovoltaic power plants
(Elsevier, 2024)
The increased penetration of renewable energy sources (RESs) as an effective mechanism to reduce carbon emissions leads to an increased weather dependency for power and energy systems. This has created dynamic operation ...
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 ...
A Data-Driven Health Assessment Method for Electromechanical Actuation Systems
(Prognostics and Health Management Society, 2016)
The design of health assessment applications for the electromechanical actuation system of the aircraft is a challenging task. Physics-of-failure models involve non-linear complex equations which are further complicated ...
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 ...
Uncertainty Distribution Assessment of Jiles-Atherton Parameter Estimation for Inrush Current Studies
(IEEE, 2024)
Transformers are one of the key assets in AC distribution grids and renewable power integration. During transformer energization inrush currents appear, which lead to transformer degradation and can cause grid instability ...
Reliability simulation of a multi-state Wind Turbine Generator using SHyFTOO
(CalTek, 2022)
Accurate reliability analysis modelling requires appropriate stochastic formalisms, which can capture the relevant operation and degradation characteristics of the system under analysis. Physical, working and environmental ...