An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge Fusion

Wentao Mao, Jing Liu, Jiaxian Chen, Xihui Liang. An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge Fusion. IEEE T. Instrumentation and Measurement, 71:1-16, 2022. [doi]

@article{MaoLCL22,
  title = {An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge Fusion},
  author = {Wentao Mao and Jing Liu and Jiaxian Chen and Xihui Liang},
  year = {2022},
  doi = {10.1109/TIM.2022.3159010},
  url = {https://doi.org/10.1109/TIM.2022.3159010},
  researchr = {https://researchr.org/publication/MaoLCL22},
  cites = {0},
  citedby = {0},
  journal = {IEEE T. Instrumentation and Measurement},
  volume = {71},
  pages = {1-16},
}