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Data-driven approach for dip voltage fault detection and identification based on grid current vector trajectory analysis.

Amel AdouniClaude DelphaDemba DialloLassaâd Sbita
Published in: IECON (2016)
Keyphrases
  • fault detection
  • data analysis
  • databases
  • machine learning
  • data driven
  • fault localization
  • industrial processes
  • wavelet transform
  • fault diagnosis
  • evolutionary computation
  • fault identification
  • fuel cell