Fault Diagnosis in Aluminium Electrolysis Using a Joint Method Based on Kernel Principal Component Analysis and Support Vector Machines

Kaibo Zhou, Gaofeng Xu, Hongting Wang, Sihai Guo. Fault Diagnosis in Aluminium Electrolysis Using a Joint Method Based on Kernel Principal Component Analysis and Support Vector Machines. In Cheng He, Hongwei Mo, Linqiang Pan, Yuxin Zhao 0001, editors, Bio-inspired Computing: Theories and Applications - 12th International Conference, BIC-TA 2017, Harbin, China, December 1-3, 2017, Proceedings. Volume 791 of Communications in Computer and Information Science, pages 274-285, Springer, 2017. [doi]

@inproceedings{ZhouXWG17,
  title = {Fault Diagnosis in Aluminium Electrolysis Using a Joint Method Based on Kernel Principal Component Analysis and Support Vector Machines},
  author = {Kaibo Zhou and Gaofeng Xu and Hongting Wang and Sihai Guo},
  year = {2017},
  doi = {10.1007/978-981-10-7179-9_21},
  url = {https://doi.org/10.1007/978-981-10-7179-9_21},
  researchr = {https://researchr.org/publication/ZhouXWG17},
  cites = {0},
  citedby = {0},
  pages = {274-285},
  booktitle = {Bio-inspired Computing: Theories and Applications - 12th International Conference, BIC-TA 2017, Harbin, China, December 1-3, 2017, Proceedings},
  editor = {Cheng He and Hongwei Mo and Linqiang Pan and Yuxin Zhao 0001},
  volume = {791},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-10-7179-9},
}