7 citations · 7 across the 2 of their papers we have counts for
3 papers
Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics
Ibai Ramirez, Jokin Alcibar, Joel Pino +3
Scientific Machine Learning (SciML) integrates physics and data into the learning process, offering improved generalization compared with purely data-driven models. Despite its pot…
Reinforcement Learning-Based Controlled Switching Approach for Inrush Current Minimization in Power Transformers
Jone Ugarte Valdivielso, Jose I. Aizpurua, Manex Barrenetxea +1
Transformers are essential components for the reliable operation of power grids. The transformer core is constituted by a ferromagnetic material, and accordingly, depending on the…
Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring
Adrian Villalobos, Iban Barrutia, Rafael Pena-Alzola +2
Semiconductor devices, especially MOSFETs (Metal-oxide-semiconductor field-effect transistor), are crucial in power electronics, but their reliability is affected by aging processe…