Maintenance 4.0 Model Development for Production Lines in Industry 4.0 Using a Deep Learning Approach and IoT Data in Real-Time: an Experimental Case Study

El Mahdi Bouyahrouzi, Ali El Kihel, Soufiane Embarki, Bachir El Kihel. Maintenance 4.0 Model Development for Production Lines in Industry 4.0 Using a Deep Learning Approach and IoT Data in Real-Time: an Experimental Case Study. In 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2023, Dortmund, Germany, September 7-9, 2023. pages 157-162, IEEE, 2023. [doi]

@inproceedings{BouyahrouziKEK23,
  title = {Maintenance 4.0 Model Development for Production Lines in Industry 4.0 Using a Deep Learning Approach and IoT Data in Real-Time: an Experimental Case Study},
  author = {El Mahdi Bouyahrouzi and Ali El Kihel and Soufiane Embarki and Bachir El Kihel},
  year = {2023},
  doi = {10.1109/IDAACS58523.2023.10348845},
  url = {https://doi.org/10.1109/IDAACS58523.2023.10348845},
  researchr = {https://researchr.org/publication/BouyahrouziKEK23},
  cites = {0},
  citedby = {0},
  pages = {157-162},
  booktitle = {12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2023, Dortmund, Germany, September 7-9, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-5805-6},
}