A Dynamic Adaptive Dy-ASPO for Rolling Bearing Fault Diagnosis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-022-00757-9.pdf
Reference35 articles.
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3. An F, Wang J (2022) Rolling bearing fault diagnosis algorithm using overlapping group sparse-deep complex convolutional neural network. Nonlinear Dyn 108(3):2353–2368
4. Wu Z, Jiang H, Liu S, Wang R (2022) A deep reinforcement transfer convolutional neural network for rolling bearing fault diagnosis. ISA Trans. https://doi.org/10.1016/j.isatra.2022.02.032
5. Wan L, Li Y, Chen K, Gong K, Li C (2022) A novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis. Measurement 191:110752
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