Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach
- DOI
- 10.1016/j.procir.2018.08.054
- Published
- 2018
- Container
- Procedia CIRP
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.procir.2018.08.054,
title = {Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach},
author = {K. Wasmer and T. Le-Quang and B. Meylan and F. Vakili-Farahani and M. P. Olbinado and A. Rack and S. A. Shevchik},
year = {2018},
journal = {Procedia CIRP},
doi = {10.1016/j.procir.2018.08.054},
url = {https://doi.org/10.1016/j.procir.2018.08.054}
}RIS
TY - JOUR TI - Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach AU - K. Wasmer AU - T. Le-Quang AU - B. Meylan AU - F. Vakili-Farahani AU - M. P. Olbinado AU - A. Rack AU - S. A. Shevchik PY - 2018 JO - Procedia CIRP DO - 10.1016/j.procir.2018.08.054 UR - https://doi.org/10.1016/j.procir.2018.08.054 ER -
APA
Wasmer, K., Le-Quang, T., Meylan, B., Vakili-Farahani, F., Olbinado, M. P., Rack, A., & Shevchik, S. A. (2018). Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach. Procedia CIRP. https://doi.org/10.1016/j.procir.2018.08.054
Source records
- hal · retrieved 2026-09-25T08:30:31.782Z