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Cutting Through the Noise: An Empirical Comparison of Psychoacoustic and Envelope-based Features for Machinery Fault Detection.

Peter WißbrockYvonne RichterDavid PelkmannZhao RenGregory Palmer
Published in: CoRR (2022)
Keyphrases
  • fault detection
  • fault diagnosis
  • feature vectors
  • industrial processes
  • artificial intelligence
  • fault identification
  • tennessee eastman
  • knowledge base
  • feature set
  • fault tolerant
  • condition monitoring