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Tool Condition Monitoring of Single-Point Dresser Using Acoustic Emission and Neural Networks Models.

Cesar H. R. MartinsPaulo Roberto de AguiarArminio FrechEduardo Carlos Bianchi
Published in: IEEE Trans. Instrum. Meas. (2014)
Keyphrases
  • condition monitoring
  • acoustic emission
  • single point
  • fault diagnosis
  • neural network
  • tool wear
  • fault detection
  • probabilistic model
  • genetic algorithm
  • pattern recognition
  • artificial neural networks
  • image data