An Adjustable Functional Regression Model for Real-time Degradation Prognostic Under Incomplete Data Scenarios

K. G. Zhang, L. Cao, X. Q. Xing, T. B. Xia, Z. Chen, Ershun Pan, L. F. Xi. An Adjustable Functional Regression Model for Real-time Degradation Prognostic Under Incomplete Data Scenarios. In IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023, Singapore, December 18-21, 2023. pages 1442-1446, IEEE, 2023. [doi]

@inproceedings{ZhangCXXCPX23,
  title = {An Adjustable Functional Regression Model for Real-time Degradation Prognostic Under Incomplete Data Scenarios},
  author = {K. G. Zhang and L. Cao and X. Q. Xing and T. B. Xia and Z. Chen and Ershun Pan and L. F. Xi},
  year = {2023},
  doi = {10.1109/IEEM58616.2023.10406527},
  url = {https://doi.org/10.1109/IEEM58616.2023.10406527},
  researchr = {https://researchr.org/publication/ZhangCXXCPX23},
  cites = {0},
  citedby = {0},
  pages = {1442-1446},
  booktitle = {IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023, Singapore, December 18-21, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-2315-3},
}