Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions

Wanxiang Li, Zhiwu Shang, Maosheng Gao, Shiqi Qian, Zehua Feng. Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions. Rel. Eng. & Sys. Safety, 226:108722, 2022. [doi]

@article{LiSGQF22,
  title = {Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions},
  author = {Wanxiang Li and Zhiwu Shang and Maosheng Gao and Shiqi Qian and Zehua Feng},
  year = {2022},
  doi = {10.1016/j.ress.2022.108722},
  url = {https://doi.org/10.1016/j.ress.2022.108722},
  researchr = {https://researchr.org/publication/LiSGQF22},
  cites = {0},
  citedby = {0},
  journal = {Rel. Eng. & Sys. Safety},
  volume = {226},
  pages = {108722},
}