Design of experiments and machine learning to improve robustness of predictive maintenance with application to a real case study

Luigi Salmaso, Luca Pegoraro, Rosa Arboretti Giancristofaro, Riccardo Ceccato, Alberto Bianchi, Silvio Restello, Davide Scarabottolo. Design of experiments and machine learning to improve robustness of predictive maintenance with application to a real case study. Communications in Statistics - Simulation and Computation, 51(2):570-582, 2022. [doi]

@article{SalmasoPGCBRS22,
  title = {Design of experiments and machine learning to improve robustness of predictive maintenance with application to a real case study},
  author = {Luigi Salmaso and Luca Pegoraro and Rosa Arboretti Giancristofaro and Riccardo Ceccato and Alberto Bianchi and Silvio Restello and Davide Scarabottolo},
  year = {2022},
  doi = {10.1080/03610918.2019.1656740},
  url = {https://doi.org/10.1080/03610918.2019.1656740},
  researchr = {https://researchr.org/publication/SalmasoPGCBRS22},
  cites = {0},
  citedby = {0},
  journal = {Communications in Statistics - Simulation and Computation},
  volume = {51},
  number = {2},
  pages = {570-582},
}