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A Rotating Machinery Fault Diagnosis Method for High-Speed Trains Based on Improved Deep Learning Network.

Jing YangGuo XieYanxi YangXin Li
Published in: ICCAIS (2018)
Keyphrases
  • deep learning
  • high speed
  • rotating machinery
  • unsupervised learning
  • mental models
  • fault detection
  • machine learning
  • real time
  • deep architectures
  • topic models
  • weakly supervised
  • unsupervised feature learning