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  3. Real-Time Hierarchical Neural Network Based Fault Detection and Isolation for High-Speed Railway System Under Hybrid AC/DC Grid
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  • Electrical and Computer Engineering, Department of / Journal Articles (Electrical and Computer Engineering)
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Real-Time Hierarchical Neural Network Based Fault Detection and Isolation for High-Speed Railway System Under Hybrid AC/DC Grid

  • Author(s) / Creator(s)
    • Qin Liu, Tian Liang, Venkata Dinavahi
  • Date created
    2020-01-01
  • Subjects / Keywords
    • Data-driven methods, fault detection and isolation (FDI), field-programmable gate array (FPGA), Gated Recurrent Unit (GRU), high-speed railway (HSR), high-voltage direct current (HVDC), hybrid AC/DC grid, long short-term memory (LSTM), machine learning, neural networks, real-time systems.
  • Type of Item
    Article (Published)
  • DOI
    https://doi.org/10.7939/r3-646f-yy30
  • License
    Attribution-NonCommercial 4.0 International
  • Language
    • English
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