The following publications are possibly variants of this publication:
- Bearing Remaining Useful Life Prediction Using Federated Learning With Taylor-Expansion Network PruningXi Chen, Hui Wang 0032, Siliang Lu, Ruqiang Yan 0001. tim, 72:1-10, 2023. [doi]
- Bearing Remaining Useful Life Prediction Using 2D Attention Residual NetworkWenrong Xiao, Yong Chen, Suqin Guo, Kun Chen. ieicetd, 106(5):818-820, May 2023. [doi]
- Remaining useful life prediction of turbofan engine using global health degradation representation in federated learningXi Chen, Hui Wang 0032, Siliang Lu, Jiawen Xu, Ruqiang Yan 0001. ress, 239:109511, November 2023. [doi]
- A contrastive learning framework enhanced by unlabeled samples for remaining useful life predictionZiqian Kong, Xiaohang Jin, Zhengguo Xu, Zian Chen. ress, 234:109163, June 2023. [doi]
- A knowledge-driven method for IGBT remaining useful life prediction using bidirectional learning and physics-enhanced pathformer networksZhaohua Zhang, Xiaojuan Chen. jcde, 12(8):327-344, 2025. [doi]
- Enhanced Particle Filtering for Bearing Remaining Useful Life Prediction of Wind Turbine Drivetrain GearboxesFangzhou Cheng, Liyan Qu, Wei Qiao 0001, Liwei Hao. tie, 66(6):4738-4748, 2019. [doi]