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- Real-Time Hierarchical Neural Network Based Fault Detection and Isolation for High-Speed Railway System Under Hybrid AC/DC Grid
Real-Time Hierarchical Neural Network Based Fault Detection and Isolation for High-Speed Railway System Under Hybrid AC/DC Grid
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- Author(s) / Creator(s)
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- Date created
- 2020-01-01
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- Subjects / Keywords
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- 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.
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- Type of Item
- Article (Published)
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- DOI
- https://doi.org/10.7939/r3-646f-yy30
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- License
- Attribution-NonCommercial 4.0 International