Health Indicator Modeling and Association Rule Mining for Stoppages Prediction in a Refinery Plant

Giovanni Mazzuto, Sara Antomarioni, Filippo Emanuele Ciarapica, Maurizio Bevilacqua 0001. Health Indicator Modeling and Association Rule Mining for Stoppages Prediction in a Refinery Plant. In Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero 0001, editors, Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5-9, 2021, Proceedings, Part V. Volume 634 of IFIP Advances in Information and Communication Technology, pages 252-260, Springer, 2021. [doi]

@inproceedings{MazzutoAC021,
  title = {Health Indicator Modeling and Association Rule Mining for Stoppages Prediction in a Refinery Plant},
  author = {Giovanni Mazzuto and Sara Antomarioni and Filippo Emanuele Ciarapica and Maurizio Bevilacqua 0001},
  year = {2021},
  doi = {10.1007/978-3-030-85914-5_27},
  url = {https://doi.org/10.1007/978-3-030-85914-5_27},
  researchr = {https://researchr.org/publication/MazzutoAC021},
  cites = {0},
  citedby = {0},
  pages = {252-260},
  booktitle = {Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5-9, 2021, Proceedings, Part V},
  editor = {Alexandre Dolgui and Alain Bernard and David Lemoine and Gregor von Cieminski and David Romero 0001},
  volume = {634},
  series = {IFIP Advances in Information and Communication Technology},
  publisher = {Springer},
  isbn = {978-3-030-85914-5},
}