Daniel Coelho, Diogo Costa, Eugénio M. Rocha, Duarte Almeida, José P. Santos. Predictive maintenance on sensorized stamping presses by time series segmentation, anomaly detection, and classification algorithms. In Francesco Longo 0002, Michael Affenzeller, Antonio Padovano, editors, Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus - Linz, Austria, 17-19 November 2021. Volume 200 of Procedia Computer Science, pages 1184-1193, Elsevier, 2021. [doi]
@inproceedings{CoelhoCRAS21,
title = {Predictive maintenance on sensorized stamping presses by time series segmentation, anomaly detection, and classification algorithms},
author = {Daniel Coelho and Diogo Costa and Eugénio M. Rocha and Duarte Almeida and José P. Santos},
year = {2021},
doi = {10.1016/j.procs.2022.01.318},
url = {https://doi.org/10.1016/j.procs.2022.01.318},
researchr = {https://researchr.org/publication/CoelhoCRAS21},
cites = {0},
citedby = {0},
pages = {1184-1193},
booktitle = {Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus - Linz, Austria, 17-19 November 2021},
editor = {Francesco Longo 0002 and Michael Affenzeller and Antonio Padovano},
volume = {200},
series = {Procedia Computer Science},
publisher = {Elsevier},
}