An Intelligent diagnosis method for rolling bearings based on Ghost module and adaptive weighting module
Author:
Funder
National Natural Science Foundation of China
the College Industrial Support Project of Gansu Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19838-w.pdf
Reference41 articles.
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3. Wan L, Li Y, Chen K et al (2022) A novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis[J]. Measurement 191:110752
4. Hoang DT, Kang HJ (2019) A survey on deep learning based bearing fault diagnosis[J]. Neurocomputing 335:327–335
5. Yan G, Chen J, Bai Y et al (2022) A survey on fault diagnosis approaches for rolling bearings of railway vehicles[J]. Processes 10(4):724
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