A5043389509- Magnetic confinement fusion research
- Fusion materials and technologies
- Ionosphere and magnetosphere dynamics
- Laser-Plasma Interactions and Diagnostics
- Nuclear reactor physics and engineering
- Anomaly Detection Techniques and Applications
- Advanced Image Processing Techniques
- Superconducting Materials and Applications
- Fault Detection and Control Systems
- Nuclear Materials and Properties
- earthquake and tectonic studies
- Network Security and Intrusion Detection
- Nuclear Engineering Thermal-Hydraulics
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Adversarial Robustness in Machine Learning
- Smart Grid Security and Resilience
- Infrared Target Detection Methodologies
- Plasma Diagnostics and Applications
- Earthquake Detection and Analysis
Culham Centre for Fusion Energy
2024
Universitat Politècnica de Catalunya
2022-2024
Culham Science Centre
2019
Abstract TJ-II stellarator results on modelling and validation of plasma flow asymmetries due to on-surface potential variations, fuelling physics, Alfvén eigenmodes (AEs) control stability, the interplay between turbulence neoclassical (NC) mechanisms liquid metals are reported. Regarding neoclassically predicted asymmetries, its impact radial electric field along flux surface has been successfully validated against Doppler reflectometry measurements. Research physics core with pellets...
This article describes the development of a generic disruption predictor that is also used as basic system to provide an estimation time at alarm times. The mode lock signal normalised plasma current input feature. recognition disruptive/non-disruptive behaviours not based on simple threshold this quantity but evolution amplitudes between consecutive samples taken periodically. separation frontier (disruptive/non-disruptive) linear in such parameter space. percentages recognised and false...
The Sequence of Physics Events (SPE) that leads the plasma towards a disruption can be different in discharges. An Event, this framework, refers to signature physical phenomenon (e.g. peaked ne profile or bolometric peaking factor), whose duration may vary from few ms several hundreds ms. SPE have direct influence on evolution pulses. Then, it is reasonable assume their identification provide relevant information keep discharges within safe operational space. In work, first, set Event...
Abstract Recently, a linear disruption predictor (Vega et al 2020 Nucl. Fusion 60 026001) was installed in the JET real-time network for mitigation purposes. From mathematical point of view, is based on computing centroids disruptive examples and non-disruptive two-dimensional space. This reason calling it centroid method (CM). It uses single signal: mode lock normalized to plasma current. The not thresholds trigger alarms but differences amplitudes between consecutive samples. article...
n order to prove the capability of operational cameras in nuclear fusion devices, videos from at JET were used detect MARFEs, an edge plasma phenomenon. Three techniques tested this work: two already reviewed other publications and a new one based on intensity masks. Once these methods validated, their output was develop several Machine Learning models improve performance. A final model devised using both data signals diagnostics instruments JET. The outcomes achieved all presented deemed...