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KPI Science News
ISSN 2617-5509 · e‑ISSN 2663-7472 Open Access · CC BY 4.0
Vol. 143 · Issue 2 · 2026 Jun 29, 2026 article

METHODOLOGY FOR SELECTING THE TRANSMISSION PATH STRUCTURE IN FUSION POWER PLANTS

PK
Pavlo Kost Corresponding Lviv Polytechnic National University, Institute of Information and Communication Technologies and Electronic Engineering, Department of Electronic Devices of Information and Computer Technologies, Lviv, Ukraine Ukraine
LH
Larysa Hlinenko Lviv Polytechnic National University, Institute of Information and Communication Technologies and Electronic Engineering, Department of Electronic Devices of Information and Computer Technologies, Lviv, Ukraine Ukraine
PublishedJun 29, 2026
PDF (Ukrainian)
KPISN 2 VOL 143 · 2
VOL 143 · ISS 2 · 2026 View issue

Abstract

Background. In fusion facilities, the transmission of measurement signals from sensors takes place under conditions of intense ionising radiation, high temperatures and significant electromagnetic interference, leading to the degradation of sensors and transmission lines, increased signal loss and a reduction in the signal-to-noise ratio. The transmission of weak signals over long distances is particularly critical, requiring a well-founded choice of transmission path structure based on a systematic consideration of the characteristics of the sensors and transmission lines, taking into account a range of influencing factors, including radiation exposure, temperature conditions, electromagnetic interference, signal loss and changes in the signal-to-noise ratio. Objective. The paper aims to justify an approach to selecting the transmission path structure for long data transmission lines in thermonuclear facilities based on a systematic and multi-criteria analysis of sensor and transmission channel characteristics. Methods. A systematic analysis of modern sensor solutions and transmission line types was employed, alongside a multi-criteria approach taking into account radiation immunity, temperature stability, noise immunity, signal-to-noise ratio and long-term parameter stability. The transmission path is considered as a set of interrelated elements: the sensor, local converter, transmission line and data acquisition module, which determine the efficiency of signal transmission. To compare alternatives, the characteristics were normalised and visualised using polar diagrams. Results. It has been established that inductive sensors are characterised by high radiation resistance but are limited in measuring static fields, whereas Hall sensors provide direct measurement of static and alternating magnetic fields, yet are subject to radiation-induced drift. It has been shown that bismuth and ceramic Hall sensors exhibit enhanced long-term stability. It has been determined that coaxial cables are susceptible to radiation ageing and signal loss, whereas fibre-optic and mineral-insulated lines provide better noise immunity and parameter stability. The feasibility of local signal digitisation and the use of optical transmission channels is justified. Based on the analysis carried out, the structure of the transmission path has been established, whilst the merits of local signal digitisation and the use of fibre-optic transmission channels to improve reliability and noise immunity have been demonstrated. Conclusions. An approach to selecting the structure of the transmission path is proposed, based on a comprehensive consideration of the characteristics of sensors and transmission lines. It is shown that the most effective solutions for constructing the transmission path are those involving a combination of radiation-resistant sensors, local signal processing and digitisation directly at the sensor, and the use of fibre-optic transmission channels. This approach ensures improved measurement accuracy and data transmission reliability in the long transmission lines of thermonuclear facilities under conditions of ionising radiation, high temperatures and electromagnetic interference.

Keywords

#thermonuclear installations #long transmission lines #radiation resistance #magnetic sensors #Hall sensors #fibre-optic lines #signal-to-noise ratio #degradation #transmission path

References

  1. A. J. H. Donné and A. E. Costley, “Key issues in diagnostics for burning plasma experiments,” IEEE Trans. Plasma Sci., vol. 32, no. 1, pp. 177–186, 2004, doi: https://doi.org/10.1109/TPS.2004.823895
  2. G. Vayakis, E. R. Hodgson, V. Voitsenya and C. I. Walker, “Generic diagnostic issues for a burning plasma experiment,” Fusion Sci. Technol., vol. 53, no. 2, pp. 699–750, 2008, https://w3.pppl.gov/~neumeyer/ITER_IVC/References/2008_Vayakis_ITER.pdf , doi: https://doi.org/10.13182/FST08-A1684
  3. R. Chavan, G. Chitarin, R. S. Delogu, A. Encheva, A. Gallo, E. R. Hodgson, L. C. Ingesson, A. Le-Luyer, J. B. Lister, Ph. Moreau, J.-M. Moret, S. Peruzzo, J. Roméro, D. S. Testa, M. Toussaint, G. Vayakis and R. Vila, “The magnetics diagnostic set for ITER,” Fusion Eng. Des., vol. 84, no. 2–6, pp. 295–299, 2009, doi: https://doi.org/10.1016/j.fusengdes.2008.12.103
  4. M. Decréton, T. Shikama and E. R. Hodgson, “Performance of functional materials and components in a fusion reactor: The issue of radiation effects in ceramics and glass materials for diagnostics,” J. Nucl. Mater., vol. 329, no. 1, pp. 125–132, 2004,
  5. doi: https://doi.org/10.1016/j.jnucmat.2004.04.012
  6. N. Casal, P. Andrew, R. Barnsley, M. Bassan, J. L. Barbero, L. Bertalot, M. De Bock, B. Brichard, T. Giacomin, R. Juarez, M. Kocan, F. Le Guern, M. Loughlin, Y. Ma, F. Mackel, H. Meister, Ph. Maquet, V. Martin, R. Reichle, F. Seyvet, A. Sirinelli, P. Shigin, V. Udintsev, G. Vayakis, C. Vorpahl, C. Watts and M. Walsh, “Functional materials for ITER diagnostic systems – Radiation aspects,” Fusion Eng. Des., vol. 125, pp. 277–282, 2017,
  7. doi: https://doi.org/10.1016/j.fusengdes.2017.08.017
  8. S. Girard, J. Kuhnhenn, A. Gusarov, B. Brichard, M. Van Uffelen and Y. Ouerdane, “Radiation effects on silica-based optical fibers: Recent advances and future challenges,” IEEE Trans. Nucl. Sci., vol. 60, no. 3, pp. 2015–2036, 2013,
  9. doi: https://doi.org/10.1109/TNS.2012.2235464
  10. I. Bolshakova, H. Barylo, R. Holiaka, T. Marusenkova and F. Shuryhin, “Structure and calibration of functionally integrated devices of magnetic diagnostics of thermonuclear reactors,” Infocommun. Technol. Electron. Eng., vol. 2, no. 1, pp. 61–73, 2022.
  11. doi: https://doi.org/10.23939/ictee2022.01.061
  12. S. Entler, Z. Soban, I. Duran, K. Kovarik, K. Vyborny, J. Sebek, S. Tazlaru, J. Strelecek and P. Sladek, “Ceramic-chromium Hall sensors for environments with high temperatures and neutron radiation,” Sensors, vol. 21, no. 3, p. 721, 2021, doi: https://doi.org/10.3390/s21030721
  13. P. E. Stott, G. Gorini, P. Prandoni and E. Sindoni, Eds., Diagnostics for Experimental Thermonuclear Fusion Reactors 2. Dordrecht: Springer, 1998, doi: https://doi.org/10.1007/978-1-4615-5353-3
  14. J. Kim, J. Kim, Y.-C. Ghim and J.-G. Bak, “Sensor fusion and magnetic drift estimation in magnetic measurements using Kalman filter for long-duration plasma operations,” Nucl. Fusion, 2025,
  15. doi: https://doi.org/10.1088/1741-4326/adb599
  16. I. Ďuran, I. Bolshakova, L. Viererbl, J. Sentkerestiová, R. Holyaka, Z. Lahodová and P. Bém, “Irradiation tests of ITER candidate Hall sensors using two types of neutron spectra,” Rev. Sci. Instrum., vol. 81, no. 10, 2010, doi: 10. https://doi.org/10.1063/1.3479115
  17. I. Ďuran, M. Hron, J. Stöckel, L. Viererbl, R. Všolák, V. Červa, I. Bolshakova, R. Holyaka and G. Vayakis, “Stability of the Hall sensors performance under neutron irradiation,” Hal open science, 2004, URL: https://hal.science/hal-00001781v1
  18. A. E. Costley, K. Ebisawa, P. Edmonds, G. Janeschitz, L. C. Johnson, S. Kasai, L. de Kock, V. Mukhovatov, P. E. Stott, G. Vayakis, C. Walker, S. Yamamoto, K. M. Young & V. Zaveriaev“Overview of the ITER Diagnostic System,” in Diagnostics for Experimental Thermonuclear Fusion Reactors 2, P. E. Stott, G. Gorini, P. Prandoni and E. Sindoni, Eds. Boston, MA: Springer, pp. 41-56, 1998. doi: https://doi.org/10.1007/978-1-4615-5353-3_3
  19. A. E. Costley, A. Malaquias, T. Sugie, G. Vayakis and C. Walker, “ITER Diagnostics: Design Choices and Solutions,” IAEA-2002-CT-5, pp. 1-8, 2002.
  20. URL: https://www-pub.iaea.org/mtcd/publications/pdf/csp_019c/pdf/ct_5.pdf
  21. K. M. Young and A. E. Costley, “An overview of ITER diagnostics,” Rev. Sci. Instrum., vol. 68, no. 1, pp. 862–867, 1997, doi: https://doi.org/10.1063/1.1147710
  22. K. Y. Vukolov, E. N. Andreenko, R. S. Afanasenko, I. I. Orlovskiy and R. N. Rodionov, “Effect of Radiation Exposure on Optics in ITER,” Phys. At. Nucl., vol. 87, no. 7, pp. 829–847, 2024, doi: https://doi.org/10.1134/S1063778824070160
  23. I. Bolshakova, R. Holyaka, T. Marusenkova and F. Shurygin, Radiation-Resistant Hall Magnetic Field Sensors and Instrumentations. Lviv: Lviv Polytechnic National University; Dallas, USA: Primedia eLaunch LLC, 2022. doi: https://doi.org/10.36074/rrhmfsai-monograph.2022
  24. I. Ďuran, S. Entler, M. Kočan, M. Kohout, L. Viererbl, R. Mušálek, T. Chráska and G. Vayakis, “Development of bismuth Hall sensors for ITER steady state magnetic diagnostics,” Fusion Eng. Des., vol. 123, pp. 690–694, 2017, doi: https://doi.org/10.1016/j.fusengdes.2017.05.142
  25. Ph. Moreau, “IIS magnetic diagnostics: overview,” presented at the 13th ITER International School, 2024, URL: https://www.iter.org/sites/default/files/media/2024-12/l2_iis-magnetic-diagnostics-ph-moreau-v2-reduced.pdf
  26. N. Marconato, “The magnetic diagnostic set for ITER,” IEEE Trans. Plasma sci., vol. 38, no. 3, pp. 284-294 2010, doi: https://doi.org/10.1109/tps.2009.2037226
  27. D. Testa, R. Chavan, G. Chitarin, R. S. Delogu, A. Encheva, A. Gallo, E. R. Hodgson, L. C. Ingesson, A. Le-Luyer, J. B. Lister, Ph. Moreau, J.-M. Moret, S. Peruzzo, J. Roméro, M. Toussaint, G. Vayakis, R. Vila, “The magnetic diagnostic set for ITER,” in Proc. 23rd IEEE/NPSS Symp. Fusion Engineering, San Diego, CA, USA, 2009, pp. 1–4,
  28. doi: https://doi.org/10.1109/FUSION.2009.5226525
  29. Y. Ma, G. Vayakis, L. B. Begrambekov, J.-J. Cooper, I. Ďuran, M. Hirsch, H. P. Laqua, Ph. Moreau, J. W. Oosterbeek, P. Spuig, T. Stange, M. Walsh, “Design and development of ITER high-frequency magnetic sensor,” Fusion Eng. Des., vol. 112, pp. 594–612, 2016,
  30. doi: https://doi.org/10.1016/j.fusengdes.2016.05.002
  31. K. Yu. Vukolov, “Fiber optics for plasma diagnostics in ITER,” Fusion Eng. Des., vol. 123, pp. 919–922, 2017, doi: https://doi.org/10.1016/j.fusengdes.2017.03.075
  32. J. Li, Q. Chen, J. Zhou, Z. Cao, T. Li, F. Liu, Z. Yang, S. Chang, K. Zhou, Y. Ming, T. Yan, W. Zheng, “Radiation damage mechanisms and research status of radiation-resistant optical fibers: A review,” Sensors, vol. 24, no. 10, p. 3235, 2024, doi: https://doi.org/10.3390/s24103235
  33. F. Esposito, A. Stancalie, S. Campopiano, A. Iadicicco, “Editorial to the special issue optical fiber sensors in radiation environments,” Sensors, vol. 23, no. 22, p. 9117, 2023,
  34. doi: https://doi.org/10.3390/s23229117
  35. L. Anghelescu, A. Handra, B. Diaconu, “Degradation pathways of electrical cable insulation: A review of aging mechanisms and fire hazards,” Fire, vol. 8, no. 10, p. 397, 2025, doi: https://doi.org/10.3390/fire8100397
  36. M. Van Uffelen, A. F. Fernandez, B. Brichard, F. Berghmans, M. Decréton, “Radiation tolerance qualification for maintenance tasks in the future fusion reactors: From fibre-optic components to robust data links,” Fusion Eng. Des., vol. 69, no. 1–4, pp. 191–195, 2003,
  37. doi: https://doi.org/10.1016/S0920-3796(03)00335-1
  38. K. Vukolov, E. Andreenko, I. Orlovskiy, V. Shikalov, “Irradiation tests of fiber optics for H-alpha diagnostics in ITER,” Fusion Eng. Des., vol. 146A, pp. 796–799, 2019, doi: https://doi.org/10.1016/j.fusengdes.2019.01.082
  39. R. Zhang et al., “Research on self-diagnosis and self-healing redundant optical fiber sensor network,” Sensors, vol. 25, no. 6, p. 1641, 2025,
  40. doi: https://doi.org/10.3390/s25061641
  41. V. Plaček, B. Bartonı́ček, V. Hnát, B. Otáhal. “Dose rate effects in radiation degradation of polymer-based cable materials,” Nucl. Instrum. Methods Phys. Res. B, vol. 208, pp. 448-453, 2003,
  42. doi: https://doi.org/10.1016/S0168-583X(03)00626-8
  43. M. Decréton, T. Shikama and E. R. Hodgson, “Performance of functional materials and components in a fusion reactor: The issue of radiation effects in ceramics and glass materials for diagnostics”, J. Nucl. Mater., vol. 329-333, part. A, pp. 125-132, 2004. Retrieved from
  44. doi: https://doi.org/10.1016/j.jnucmat.2004.04.012
  45. M. Van Uffelen; S. Girard; F. Goutaland; A. Gusarov; B. Brichard; F. Berghmans, “Gamma radiation effects in Er-doped silica fibers”, IEEE Trans. Nucl. Sci., Vol. 51, no. 5, pp. 2763–2769, Oct. 2004. Retrieved from
  46. doi: https://doi.org/10.1109/TNS.2004.835059
  47. N. Casal, P. Andrew, R. Barnsley, M. Bassan, J. L. Barbero, L. Bertalot, M. De Bock, B. Brichard, T. Giacomin, R. Juarez, M. Kocan, F. Le Guern, M. Loughlin, Y. Ma, F. Mackel, H. Meister, P. Maquet, V. Martin, R. Reichle, F. Seyvet, A. Sirinelli, P. Shigin, V. Udintsev, G. Vayakis, C. Vorpahl, C. Watts, M. Walsh, “Functional materials for ITER diagnostic systems – Radiation aspects”, Fusion Eng., vol. 125, pp. 277-282, 2017. Retrieved from
  48. doi: https://doi.org/10.1016/j.fusengdes.2017.08.017
  49. Л. К. Гліненко та В. М. Фаст, “Системний вибір оптимального технологічного рішення 3D MID”, Вісн. НТУУ “КПІ”. Серія: Радіотехніка. Радіоапаратобудування, вип. 69, с. 56–61, 2017, URL: http://nbuv.gov.ua/UJRN/VKPI_rr_2017_69_11
  50. A. Stanciu, M. Stanciu, “Optical fiber sensors in nuclear plants,” EEA J., vol. 53, no. 4, pp. 15–20, 2005, URL: https://eea-journal.ro/ro/2005/eea-2005-53-4-015-en.pdf
  51. A. Morana, E. Marin, L. Lablonde, T. Blanchet, T. Robin, G. Cheymol, G. Laffont, A. Boukenter, Y. Ouerdane, S. Girard, “Radiation effects on fiber Bragg gratings: Vulnerability up to MGy doses,” Sensors, vol. 22, no. 21, p. 8175, 2022, doi: https://doi.org/10.3390/s22218175
  52. M. A. S. Zaghloul, M. Wang, S. Huang, C. Hnatovsky, D. Grobnic, S. Mihailov, M.-J. Li, D. Carpenter, L.-W. Hu, J. Daw, G. Laffont, S. Nehr, K. P. Chen, “Radiation resistant fiber Bragg grating in random air-line fiber,” Opt. Express, vol. 26, no. 9, pp. 11775–11786, 2018, doi: https://doi.org/10.1364/OE.26.011775
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