The following publications are possibly variants of this publication:
- A novel deep learning method based on attention mechanism for bearing remaining useful life predictionYuanhang Chen, Gaoliang Peng, Zhiyu Zhu, Sijue Li. asc, 86, 2020. [doi]
- Remaining useful life prediction based on state assessment using edge computing on deep learningHsin-Yao Hsu, Gautam Srivastava, Hsin-Te Wu, Mu-Yen Chen. comcom, 160:91-100, 2020. [doi]
- An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge FusionWentao Mao, Jing Liu, Jiaxian Chen, Xihui Liang. tim, 71:1-16, 2022. [doi]