@inproceedings{traini:hal-03897898,
  TITLE = {{Design of a Physics-Based and Data-Driven Hybrid Model for Predictive Maintenance}},
  AUTHOR = {Traini, Emiliano and Bruno, Giulia and Lombardi, Franco},
  URL = {https://inria.hal.science/hal-03897898},
  NOTE = {Part 11: Regular Session: Simulation and Optimization of Systems Performances},
  BOOKTITLE = {{IFIP International Conference on Advances in Production Management Systems (APMS)}},
  ADDRESS = {Nantes, France},
  EDITOR = {Alexandre Dolgui and Alain Bernard and David Lemoine and Gregor von Cieminski and David Romero},
  PUBLISHER = {{Springer International Publishing}},
  SERIES = {Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems},
  VOLUME = {AICT-634},
  NUMBER = {Part V},
  PAGES = {536-543},
  YEAR = {2021},
  MONTH = Sep,
  DOI = {10.1007/978-3-030-85914-5\_57},
  KEYWORDS = {Hybrid model ; Predictive Maintenance ; Tool condition monitoring ; Machine learning ; Milling},
  PDF = {https://inria.hal.science/hal-03897898/file/520762_1_En_57_Chapter.pdf},
  HAL_ID = {hal-03897898},
  HAL_VERSION = {v1},
}