Real-Time FPGA-Based Hardware Neural Network for Fault Detection and Isolation in More Electric Aircraft

Real-Time FPGA-Based Hardware Neural Network for Fault Detection and Isolation in More Electric Aircraft

More Electric Aircraft (MEA) has a great development prospect in the aviation industry thanks to the progressive power electronics technology and digital systems. Nevertheless, any fault occurring in the power electric system of MEA could be a fatal risk for the safety of the aircraft. To deal with...

Full description

Bibliographic Details
Main Authors: Qin Liu, Tian Liang, Zhen Huang, Venkata Dinavahi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Fault detection and isolation (FDI)
field-programmable gate array (FPGA)
gated recurrent unit (GRU)
long short-term memory (LSTM)
more electric aircraft (MEA)
neural networks
Online Access:https://ieeexplore.ieee.org/document/8889749/

Internet

https://ieeexplore.ieee.org/document/8889749/

Similar Items