A fault diagnosis method for few-shot industrial processes based on semantic segmentation and hybrid domain transfer learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04979-6.pdf
Reference32 articles.
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3. Wang M, Xu X, Yan Z (2023) Online fault diagnosis of PV array considering label errors based on distributionally robust logistic regression. Renew Energy 203:68–80
4. Souza RM et al (2021) Deep learning for diagnosis and classification of faults in industrial rotating machinery. Comput Ind Eng 153:107060
5. Zhang J et al (2023) Gated recurrent unit-enhanced deep convolutional neural network for real-time industrial process fault diagnosis. Process Saf Environ Prot 175:129–149
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