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  • (-) Empa Authors = Shevchik, Sergey
  • (-) Keywords = fiber optical sensors
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Deep learning for<em> in situ </em>and real-time quality monitoring in additive manufacturing using acoustic emission
Shevchik, S. A., Masinelli, G., Kenel, C., Leinenbach, C., & Wasmer, K. (2019). Deep learning for in situ and real-time quality monitoring in additive manufacturing using acoustic emission. IEEE Transactions on Industrial Informatics, 15(9), 5194-5203. https://doi.org/10.1109/TII.2019.2910524
In situ quality monitoring in AM using acoustic emission: a reinforcement learning approach
Wasmer, K., Le-Quang, T., Meylan, B., & Shevchik, S. A. (2019). In situ quality monitoring in AM using acoustic emission: a reinforcement learning approach. Journal of Materials Engineering and Performance, 28(2), 666-672. https://doi.org/10.1007/s11665-018-3690-2
<i>In situ</i> and real-time monitoring of powder-bed AM by combining acoustic emission and artificial intelligence
Wasmer, K., Kenel, C., Leinenbach, C., & Shevchik, S. A. (2018). In situ and real-time monitoring of powder-bed AM by combining acoustic emission and artificial intelligence. In M. Mebold & C. Klahn (Eds.), Industrializing additive manufacturing - proceedings of additive manufacturing in products and applications - AMPA2017 (pp. 200-209). https://doi.org/10.1007/978-3-319-66866-6_20