A Novel Clustering Anomaly Detection of PCA Based Time Series Features with CNC Machines Data

Hyeonjong Ha, Dongwhan Min, Jongpil Jeong. A Novel Clustering Anomaly Detection of PCA Based Time Series Features with CNC Machines Data. In Álvaro Rocha 0001, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, editors, Information Systems and Technologies - WorldCIST 2022, Volume 1, Budva, Montenegro, 12-14 April, 2022. Volume 468 of Lecture Notes in Networks and Systems, pages 22-31, Springer, 2022. [doi]

@inproceedings{HaMJ22,
  title = {A Novel Clustering Anomaly Detection of PCA Based Time Series Features with CNC Machines Data},
  author = {Hyeonjong Ha and Dongwhan Min and Jongpil Jeong},
  year = {2022},
  doi = {10.1007/978-3-031-04826-5_3},
  url = {https://doi.org/10.1007/978-3-031-04826-5_3},
  researchr = {https://researchr.org/publication/HaMJ22},
  cites = {0},
  citedby = {0},
  pages = {22-31},
  booktitle = {Information Systems and Technologies - WorldCIST 2022, Volume 1, Budva, Montenegro, 12-14 April, 2022},
  editor = {Álvaro Rocha 0001 and Hojjat Adeli and Gintautas Dzemyda and Fernando Moreira},
  volume = {468},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-031-04826-5},
}