General information
Organisation
The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.
Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.
The CEA is established in ten centers spread throughout France
Reference
SL-DRF-24-0366
Direction
DRF
Thesis topic details
Category
Technological challenges
Thesis topics
Anomaly Detection Machine learning Methods for Experimental Plasma Fusion Data Quality - Application to WEST Data
Contract
Thèse
Job description
Fusion plasmas in tokamaks have complex non-linear dynamics. In the WEST Tokamak, of the same family as the ITER project, a large amount of heterogeneous experimental fusion data is collected. Ensuring the integrity and quality of this data in real time is essential for the stable and safe operation of the Tokamak. Continuous monitoring and validation are essential, as any disturbance or anomaly can significantly affect our ability to ensure plasma stability, control performance and even lifetime. The detection of unusual patterns or events within the collected data can provide valuable insights and help identify potentially abnormal behavior in plasma operations.
This Ph.D. research aims to study and develop anomaly detection system for WEST -- prefiguring what could be installed on ITER -- by integrate machine learning algorithms, statistical methodologies and signal processing techniques to validate various diagnostic signals in Tokamak operations, including density, interferometry, radiative power and magnetic data.
The expected outcomes are:
– The development of dedicated machine-learning algorithms capable of detecting anomalies in selected time series data from WEST Tokamak.
– The fine-tuning of an operational autonomous system able to ensure data quality in Tokamak reactors, integrated into the WEST AI platform.
– The constitution of a comprehensive database.
– The validation of a data quality framework built for the specific needs of plasma fusion research.
University / doctoral school
Physique et Sciences de la Matière (ED352)
Aix-Marseille Université
Thesis topic location
Site
Cadarache
Requester
Position start date
01/11/2024
Person to be contacted by the applicant
ALMUHISEN Feda feda.almuhisen@gmail.com
CEA
DRF/IRFM/SPPF/GC3I
CEA, IRFM, F-13108 Saint-Paul-lez-Durance, France
+33(0)442256289
Tutor / Responsible thesis director
DUMONT Rémi remi.dumont@cea.fr
CEA
DRF/IRFM/SPPF/GEDS
CEA, IRFM, F-13108 Saint-Paul-lez-Durance, France
+33 (0)442254876
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