A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series

Cheng Cheng, Jia Ding, Yong Zhang 0020. A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series. Neurocomputing, 406:204-214, 2020. [doi]

@article{ChengDZ20-0,
  title = {A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series},
  author = {Cheng Cheng and Jia Ding and Yong Zhang 0020},
  year = {2020},
  doi = {10.1016/j.neucom.2020.04.005},
  url = {https://doi.org/10.1016/j.neucom.2020.04.005},
  researchr = {https://researchr.org/publication/ChengDZ20-0},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {406},
  pages = {204-214},
}