• High Power Laser and Particle Beams
  • Vol. 36, Issue 4, 043013 (2024)
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
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    DOI: 10.11884/HPLPB202436.230237 Cite this Article
    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 Copy Citation Text show less
    Flowchart of the proposed algorithm by combining decomposition and autoencoder
    Fig. 1. Flowchart of the proposed algorithm by combining decomposition and autoencoder
    Temperature characteristic curve of the PIN diode
    Fig. 2. Temperature characteristic curve of the PIN diode
    Training process and structure of the autoencoder
    Fig. 3. Training process and structure of the autoencoder
    Predicted curves comparison with and without VMD decomposition
    Fig. 4. Predicted curves comparison with and without VMD decomposition
    networkpossibility of R2 > 0.9
    without VMDwith VMD
    autoencoder0.760.91
    1DCNN0.730.80
    SVM0.730.75
    MLP0.680.73
    GRP0.820.86
    Table 1. Results of experiments
    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
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