Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10489-020-02006-6.pdf
Reference32 articles.
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3. Wu Z, Jiang H, Zhao K, Li X (2020) An adaptive deep transfer learning method for bearing fault diagnosis. Measurement 151:107227
4. Rashid MM, Amar M, Gondal I, Kamruzzaman J (2016) A data mining approach for machine fault diagnosis based on associated frequency patterns. Appl Intell 45:638–651
5. Liu R, Yang B, Zio E, Chen X (2018) Artificial intelligence for fault diagnosis of rotating machinery: a review. Mech Syst Signal Process 108:33–47
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