The following publications are possibly variants of this publication:
- Research on fault diagnosis method of MS-CNN rolling bearing based on local central moment discrepancyZong Meng, Wei Cao, Dengyun Sun, Qian Li, Wuxu Ma, Fengjie Fan. aei, 54:101797, 2022. [doi]
- A collaborative central domain adaptation approach with multi-order graph embedding for bearing fault diagnosis under few-shot samplesWengang Ma, Ruiqi Liu, Jin Guo, ZiCheng Wang, Liang Ma. asc, 140:110243, June 2023. [doi]
- Meta Bi-classifier Gradient Discrepancy for noisy and universal domain adaptation in intelligent fault diagnosisYulin Ma, Jun Yang 0018, Lei Li 0017. kbs, 276:110735, 2023. [doi]
- Domain Adaptation With Multi-Adversarial Learning for Open-Set Cross-Domain Intelligent Bearing Fault DiagnosisZhixiao Zhu, Guangyi Chen 0003, Gang Tang. tim, 72:1-11, 2023. [doi]