Skip to Main Content
ERA - Education and Research Archive ERA - Education and Research Archive
  • Collections
  • Deposit
  • About
  • Log In
  1. Home
  2. Search
  3. Deep Learning for Hardware-Based Real-Time Fault Detection and Localization of All Electric Ship MVDC Power System
View
Download
Communities and Collections
  • Electrical and Computer Engineering, Department of / Journal Articles (Electrical and Computer Engineering)
Usage
  • 18 views
  • 4 downloads

Deep Learning for Hardware-Based Real-Time Fault Detection and Localization of All Electric Ship MVDC Power System

  • Author(s) / Creator(s)
    • Qin Liu, Tian Liang, Venkata Dinavahi
  • Date created
    2020-01-01
  • Subjects / Keywords
    • All electric ship, correlation based feature selection, deep convolutional neural networks, fault detection and localization, field-programmable gate array, generative adversarial networks, multivariate empirical mode decomposition, mediumvoltage direct current, machine learning, random forest, real-time systems.
  • Type of Item
    Article (Published)
  • DOI
    https://doi.org/10.7939/r3-zsnj-tf70
  • License
    Attribution-NonCommercial-NoDerivatives 4.0 International
  • Language
    • English
  • About ERA
  • ·
  • Contact Us
  • ·
  • Policies
  • ·
  • Powered by Jupiter
University of Alberta Library