Deep Learning for Hardware-Based Real-Time Fault Detection and Localization of All Electric Ship MVDC Power System
The tendency toward electrification of marine vessels has led the evolution of the all electric ship (AES). The harsh operating environment of the AES makes the shipboard power system (SPS) vulnerable, so a powerful monitoring system for fault detection and localization (FDL) is essential for safe n...
Main Authors: | Qin Liu, Tian Liang, Venkata Dinavahi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Open Journal of Industry Applications |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9244587/ |
Similar Items
-
Real-Time FPGA-Based Hardware Neural Network for Fault Detection and Isolation in More Electric Aircraft
by: Qin Liu, et al.
Published: (2019-01-01) -
Comprehensive Real-Time Hardware-In-the-Loop Transient Emulation of MVDC Power Distribution System on Nuclear Submarine
by: Weiran Chen, et al.
Published: (2020-01-01) -
Domain Adaptive Ship Detection in Optical Remote Sensing Images
by: Linhao Li, et al.
Published: (2021-08-01) -
Hardware Acceleration of Video analytics on FPGA using OpenCL
Published: (2019) -
A Heterogeneous Hardware Accelerator for Image Classification in Embedded Systems
by: Ignacio Pérez, et al.
Published: (2021-04-01)