Refractory Lifetime Prediction in Industrial Processes with Artificial Intelligence

Author:

Voller Nikolaus,Pichler Christoph,Wenzl Christine,Lammer Gregor

Publisher

Springer International Publishing

Reference11 articles.

1. Lammer G, Lanzenberger R, Rom A, Hanna A, Forrer M, Feuerstein M, Pernkopf F, Mutsam N (2017) Advanced data mining for process optimizations and use of A.I. to predict refractory wear and to analyze refractory behavior. In: AISTech 2017, conference proceedings, pp 1195–1207

2. Brecher C et al (2011) Integrative Produktionstechnik für Hochlohnländer. Springer, Berlin, Heidelberg, Heidelberg, pp 17–81

3. Womack JP, Jones DT, Roos D (1990) The machine that changed the world: The story of lean production. Simon and Schuster, New York, pp 1–325

4. Yan HS, Xue CG (2007) Decision-making in self-reconfiguration of a knowledgeable manufacturing system. Int J Prod Res 45(12):2735–2758

5. Magnesita RHI APO: wear lifetime prediction with the power of AI. https://www.rhimagnesita.com/apo-wear-lifetime-prediction-with-the-power-of-ai/

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