Analysis of Machine Learning based Condition Monitoring Schemes Applied to Complex Electromechanical Systems

Francisco Arellano-Espitia, Artvin Darien Gonzalez-Abreu, Miguel Delgado Prieto, Juan José Saucedo-Dorantes, Roque Alfredo Osornio-Rios. Analysis of Machine Learning based Condition Monitoring Schemes Applied to Complex Electromechanical Systems. In 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020, Vienna, Austria, September 8-11, 2020. pages 1419-1422, IEEE, 2020. [doi]

@inproceedings{Arellano-Espitia20-0,
  title = {Analysis of Machine Learning based Condition Monitoring Schemes Applied to Complex Electromechanical Systems},
  author = {Francisco Arellano-Espitia and Artvin Darien Gonzalez-Abreu and Miguel Delgado Prieto and Juan José Saucedo-Dorantes and Roque Alfredo Osornio-Rios},
  year = {2020},
  doi = {10.1109/ETFA46521.2020.9212026},
  url = {https://doi.org/10.1109/ETFA46521.2020.9212026},
  researchr = {https://researchr.org/publication/Arellano-Espitia20-0},
  cites = {0},
  citedby = {0},
  pages = {1419-1422},
  booktitle = {25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020, Vienna, Austria, September 8-11, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-8956-7},
}