A Bayesian deep learning framework for interval estimation of remaining useful life in complex systems by incorporating general degradation characteristics

Minhee Kim, Kaibo Liu. A Bayesian deep learning framework for interval estimation of remaining useful life in complex systems by incorporating general degradation characteristics. IISE Trans., 53(3):326-340, 2021. [doi]

@article{KimL21-25,
  title = {A Bayesian deep learning framework for interval estimation of remaining useful life in complex systems by incorporating general degradation characteristics},
  author = {Minhee Kim and Kaibo Liu},
  year = {2021},
  doi = {10.1080/24725854.2020.1766729},
  url = {https://doi.org/10.1080/24725854.2020.1766729},
  researchr = {https://researchr.org/publication/KimL21-25},
  cites = {0},
  citedby = {0},
  journal = {IISE Trans.},
  volume = {53},
  number = {3},
  pages = {326-340},
}