Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems

CRC Press
SKU:
9781032147260
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ISBN13:
9781032147260
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Background and related methods -- Fault diagnosis method based on recurrent convolutional neural network -- Fault diagnosis of rotating machinery gear based on random forest algorithm -- Bearing fault diagnosis under different working conditions based on generative adversarial networks -- Rotating machinery gearbox fault diagnosis based on one-dimensional convolutional neural network and random forest -- Fault diagnosis for rotating machinery gearbox based on improved random forest algorithm -- Imbalanced data fault diagnosis based on hybrid feature dimensionality reduction and varied density based safe level synthetic minority oversampling technique.


  • | Author: Rui Yang, Maiying Zhong
  • | Publisher: CRC Press
  • | Publication Date: Oct 08, 2024
  • | Number of Pages: NA pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 1032147261
  • | ISBN-13: 9781032147260
Author:
Lyle F. Bachman
Publisher:
Taylor & Francis Group
Publication Date:
Jul 31, 2024
Number of pages:
NA pages
Language:
English
Binding:
Paperback
ISBN-10:
1138788651
ISBN-13:
9781138788657