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Acoustic Emission-Based Prognostics of Slow Rotating Bearing Using Bayesian Techniques Under Dependent and Independent Samples.

Sylvester A. AyeP. S. Heyns
Published in: Appl. Artif. Intell. (2015)
Keyphrases
  • acoustic emission
  • condition monitoring
  • statistically independent
  • fault detection
  • data sets
  • bayesian networks
  • completely independent
  • real time
  • pattern recognition
  • posterior distribution