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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 ...
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 ...
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 ...