A data-driven prognostics approach for RUL based on principle component and instance learning

@article{Yongxiang2016ADP,
  title={A data-driven prognostics approach for RUL based on principle component and instance learning},
  author={Li Yongxiang and Shi Jianming and Wang Bao Gong and Liu Xiaodong},
  journal={2016 IEEE International Conference on Prognostics and Health Management (ICPHM)},
  year={2016},
  pages={1-7}
}
The research of Remaining Useful Life (RUL) estimation is one of the most common tasks of Prognostics and Health Management (PHM). This paper presents a data-driven approach for estimating RUL using principle component and instance learning. The approach is especially suitable for situations in which abundant run-to-failure (RtF) data are available. Firstly… CONTINUE READING