Real-Time Hierarchical Neural Network Based Fault Detection and Isolation for High-Speed Railway System Under Hybrid AC/DC Grid

Qin Liu, Tian Liang, Venkata Dinavahi

doi:doi:10.7939/r3-646f-yy30

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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