Improving clustering based anomaly detection with concave hull: An application in fault diagnosis of wind turbines

Peng Li, Oliver Niggemann. Improving clustering based anomaly detection with concave hull: An application in fault diagnosis of wind turbines. In 14th IEEE International Conference on Industrial Informatics, INDIN 2016, Poitiers, France, July 19-21, 2016. pages 463-466, IEEE, 2016. [doi]

@inproceedings{LiN16-48,
  title = {Improving clustering based anomaly detection with concave hull: An application in fault diagnosis of wind turbines},
  author = {Peng Li and Oliver Niggemann},
  year = {2016},
  doi = {10.1109/INDIN.2016.7819205},
  url = {http://dx.doi.org/10.1109/INDIN.2016.7819205},
  researchr = {https://researchr.org/publication/LiN16-48},
  cites = {0},
  citedby = {0},
  pages = {463-466},
  booktitle = {14th IEEE International Conference on Industrial Informatics, INDIN 2016, Poitiers, France, July 19-21, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-2870-2},
}