| Title: |
Surface temperature measurement from infrared synthetic diagnostic in preparation for ITER operations |
| Authors: |
Aumeunier, M.-H.; Juven, A.; Gerardin, J.; Cisse, C-M, B; Pamela, S.; Miorelli, R.; Reboud, C.; Retailleau, F.; Marot, J.; Rigollet, F.; Marot, L. |
| Contributors: |
Institut de Recherche sur la Fusion par confinement Magnétique (IRFM); Direction de Recherche Fondamentale (CEA) (DRF (CEA)); Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA); United Kingdom Atomic Energy Authority; Culham Centre for Fusion Energy (CCFE); Culham Science Centre Abingdon -Culham Science Centre Abingdon; Laboratoire de Simulation, Modélisation et Analyse (CEA, LIST) (LSMA (CEA, LIST)); Département d'instrumentation Numérique (CEA, LIST) (DIN (CEA, LIST)); Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)); Direction de Recherche Technologique (CEA) (DRT (CEA)); Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)); Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)); Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay; Institut FRESNEL (FRESNEL); Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS); GSM (GSM); Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS); Institut universitaire des systèmes thermiques industriels (IUSTI); Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS); Department of Computer Science (University of Basel); Université de Bâle = University of Basel = Basel Universität (Unibas); European Project: 101052200,EURATOM-2021-ADHOC-IBA,EURATOM-2021-ADHOC-IBA,EUROfusion(2021) |
| Source: |
ISSN: 0029-5515. |
| Publisher Information: |
CCSD; IOP Publishing |
| Publication Year: |
2024 |
| Subject Terms: |
filter reflection; ITER; WEST; artificial intelligence; modelling; reliability; diagnosis; image interpretation; reflection; surface thermo-radiative properties; metallic target; monitoring; temperature; tokamak; infrared camera; instrumentation; emissivity; neural network; wall protection; infrared; synthetic diagnostic; [PHYS.MECA.THER]Physics [physics]/Mechanics [physics]/Thermics [physics.class-ph]; [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det] |
| Description: |
International audience ; The protection of ITER in-vessel components and the plasma-wall interaction studies will be based on a large network of infrared (IR) cameras covering 70% of the tokamak. The surface temperature measurement from IR images remains challenging due to the presence of metallic targets, with changes in surface thermo-radiative properties (emissivity) and the presence of multiple reflections. The paper provides an overview of major progress to improve the interpretation of IR image and to get more reliable surface temperature from IR synthetic diagnostics. The paper presents the latest development of (1) the forward model to include the modelling of the edge localised modes and a new advanced camera that is better adapted to experimental data (2) the inverse model to retrieve the emissivity of the targets and the surface temperature from a neural network trained exclusively from synthetic IR images. Promising results have been obtained both from simulated test images with an estimated emissivity better than 0.05 and a surface temperature better than 10%, and from WEST experimental images of ITER-like wide-angle to filter reflection patterns. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
info:eu-repo/grantAgreement//101052200/EU/Implementation of activities described in the Roadmap to Fusion during Horizon Europe through a joint programme of the members of the EUROfusion consortium/EUROfusion |
| DOI: |
10.1088/1741-4326/ad5a1f |
| Availability: |
https://cea.hal.science/cea-04828900; https://cea.hal.science/cea-04828900v1/document; https://cea.hal.science/cea-04828900v1/file/Aumeunier_2024_Nucl._Fusion_64_086044.pdf; https://doi.org/10.1088/1741-4326/ad5a1f |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.6C0EF156 |
| Database: |
BASE |