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CE-FFGAN: A feature fusion generative adversarial network with deep embedded category information for limited sample fault diagnosis of rotating machinery under speed variation.

Chen YangHongkun LiShunxin CaoKongliang ZhangWei XiangXuejun Liu
Published in: Adv. Eng. Informatics (2024)
Keyphrases
  • fault diagnosis
  • rotating machinery
  • feature fusion
  • fault detection
  • expert systems
  • information fusion
  • multi sensor information fusion
  • bp neural network
  • chemical process