Data Quality Monitoring Considerations for Implementation in High Performance Raw Signal Processing Real-time Systems with Use in Tokamak Facilities

Andrzej Wojeński , Krzysztof Poźniak , Paweł Linczuk , M. Chernyshova , Grzegorz Henryk Kasprowicz , Dider Mazon , Tomasz Czarski , Rafał Krawczyk , Michał Gąska , Philippe Malard


Data quality of the tokamaks diagnostics is often a neglected topic. In literature it is rather rare to find considerations regarding the data quality received from the diagnostic systems’ sensors. The scope of the paper is to provide a discussion regarding systems’ construction and analysis in scope of implementation of data quality monitoring methods for a new generation of diagnostics. Mainly considerations are performed regarding the necessity of DQM (Data Quality Monitoring) implementation, functionality, performance and required system resources. The covered topics are related to basics of system construction including: system layout and construction blocks, data processing stages, signal processing modes, system construction with resource estimation in scope of DQM implementation. Based on the covered points, it is possible to plan the extra resources or specific construction, to provide reliable design with data quality monitoring features. The data quality monitoring aspect is especially important in the modern diagnostics working with a real-time feedback loop. Such approach could be especially interesting for the ITER-like projects, since the quality of the data may directly influence the behavior of the control systems during plasma phenomena. The work is based on experience in design work of various high performance diagnostic systems for plasma physics and high energy physics.
Publication categoriesElectronic article/chapter
Author Andrzej Wojeński (FEIT / PE)
Andrzej Wojeński,,
- The Institute of Electronic Systems
, Krzysztof Poźniak (FEIT / PE)
Krzysztof Poźniak,,
- The Institute of Electronic Systems
, Paweł Linczuk (FEIT / PE)
Paweł Linczuk,,
- The Institute of Electronic Systems
, M. Chernyshova
M. Chernyshova,,
, Grzegorz Henryk Kasprowicz (FEIT / PE)
Grzegorz Henryk Kasprowicz,,
- The Institute of Electronic Systems
, Dider Mazon
Dider Mazon,,
, Tomasz Czarski
Tomasz Czarski,,
, Rafał Krawczyk (FEIT / PE)
Rafał Krawczyk,,
- The Institute of Electronic Systems
, Michał Gąska (FEIT / PE)
Michał Gąska,,
- The Institute of Electronic Systems
, Philippe Malard
Philippe Malard,,
Journal seriesJournal of Fusion Energy, ISSN 0164-0313, e-ISSN 1572-9591
Issue year2020
Publication size in sheets0.5
Keywords in EnglishData quality monitoring; Soft X-ray diagnostics; GEM detector; FPGA; Tokamak
ASJC Classification2104 Nuclear Energy and Engineering; 3106 Nuclear and High Energy Physics
Languageen angielski
Score (nominal)70
Score sourcejournalList
ScoreMinisterial score = 70.0, 15-06-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.599; WoS Impact Factor: 2018 = 0.644 (2) - 2018=0.583 (5)
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