High Power Laser and Particle Beams, Volume. 36, Issue 4, 043013(2024)

PIN diode temperature characteristics prediction based on variational mode decomposition and autoencoder

Yang Zhang, Yang Zhou, Zehai Zhang, Fuxiang Yang, and Xingjun Ge
Author Affiliations
  • College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China
  • show less
    Figures & Tables(5)
    Flowchart of the proposed algorithm by combining decomposition and autoencoder
    Temperature characteristic curve of the PIN diode
    Training process and structure of the autoencoder
    Predicted curves comparison with and without VMD decomposition
    • Table 1. Results of experiments

      View table
      View in Article

      Table 1. Results of experiments

      networkpossibility of R2 > 0.9
      without VMDwith VMD
      autoencoder0.760.91
      1DCNN0.730.80
      SVM0.730.75
      MLP0.680.73
      GRP0.820.86
    Tools

    Get Citation

    Copy Citation Text

    Yang Zhang, Yang Zhou, Zehai Zhang, Fuxiang Yang, Xingjun Ge. PIN diode temperature characteristics prediction based on variational mode decomposition and autoencoder[J]. High Power Laser and Particle Beams, 2024, 36(4): 043013

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Jul. 28, 2023

    Accepted: Sep. 28, 2023

    Published Online: Apr. 22, 2024

    The Author Email:

    DOI:10.11884/HPLPB202436.230237

    Topics