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Machine Learning Based Prediction for the Response of Gas Discharge Tube to Damped Sinusoid Signal

Author

Listed:
  • Jinjin Wang

    (State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi’an 710024, China)

  • Zhitong Cui

    (State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi’an 710024, China)

  • Zhiqiang Chen

    (State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi’an 710024, China)

  • Yayun Dong

    (State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi’an 710024, China)

  • Xin Nie

    (State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi’an 710024, China)

Abstract

In order to predict the circuit response of a Gas Discharge Tube (GDT) to an electromagnetic pulse, a “black box” model for a GDT based on a machine learning method is proposed and validated in this paper.Firstly, the machine learning model of the Elman neural network is established by taking advantage of the existing measurement data to dampen the sinusoid signal, and then the established model is adopted to predict the response waveform of an unknown injection current grade and frequency.Without considering the complex physical parameters and dynamic behavior of GDTs, the Elman neural network modeling method is simpler than the existing physical or Pspice model.Validation experiments show a good agreement between the predicted and the measured waveforms.

Suggested Citation

  • Jinjin Wang & Zhitong Cui & Zhiqiang Chen & Yayun Dong & Xin Nie, 2022. "Machine Learning Based Prediction for the Response of Gas Discharge Tube to Damped Sinusoid Signal," Energies, MDPI, vol. 15(7), pages 1-9, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2622-:d:786388
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    Cited by:

    1. Yifei Liu & Wei Wu & Xiang Chen & Xin Nie & Mo Zhao & Rui Jia & Jinxi Li, 2023. "A Test Method for Shielding Effectiveness of Materials against Electromagnetic Pulse Based on Coaxial Flange," Energies, MDPI, vol. 16(18), pages 1-12, September.

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