Advanced Real-time Evaluation and Data Quality Monitoring Model Integration with FPGAs for Tokamak High-performance Soft X-ray Diagnostic System

• Autorzy: Wojenski A. , Poźniak K. , Mazon D. , Chernyshova M.

Identyfikatory

DOI

10.24425/123548

• Języki publikacji: EN

Abstrakty

EN

Based on the publications regarding new or recent measurement systems for the tokamak plasma experiments, it can be found that the monitoring and quality validation of input signals for the computation stage is done in different, often simple, ways. In the paper is described the unique approach to implement the novel evaluation and data quality monitoring (EDQM) model for use in various measurement systems. The adaptation of the model is made for the GEM-based soft X-ray measurement system FPGA-based. The EDQM elements has been connected to the base firmware using PCI-E DMA real-time data streaming with minimal modification. As additional storage, on-board DDR3 memory has been used. Description of implemented elements is provided, along with designed data processing tools and advanced simulation environment based on Questa software.

Słowa kluczowe

EN

data quality monitoring; system modeling; FPGA; Verilog-VHDL; HDL; GEM detector; SXR plasma diagnostics; modular measurement system; data evaluation

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2018
• Tom: Vol. 64, No. 4
• Strony: 473--479
• Opis fizyczny: Bibliogr. 28 poz., rys., wykr.

Twórcy

autor

Wojenski A.

• Warsaw University of Technology, Institute of Electronics Systems, Nowowiejska 15/19, 00-665 Warsaw, Poland

autor

Poźniak K.

• Warsaw University of Technology, Institute of Electronics Systems, Nowowiejska 15/19, 00-665 Warsaw, Poland

autor

Mazon D.

• CEA, IRFM F-13108, Saint-Paul-lez-Durance, France

autor

Chernyshova M.

• Institute of Plasma Physics and Laser Microfusion, Hery 23, 01-497 Warsaw, Poland

Bibliografia

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Uwagi

1. The Author of the paper received funding under the financing doctoral scholarship program from National Science Centre, number 2016/20/T/ST7/00203.

2. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).