Anomaly Detection for the Prediction of Ultimate Tensile Strength in Iron Casting Production

Author:

Santos Igor,Nieves Javier,Ugarte-Pedrero Xabier,Bringas Pablo G.

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Sertucha, J., Loizaga, A., Suárez, R.: Improvement opportunities for simulation tools. In: Proceedings of the 16th European Conference and Exhibition on Digital Simulation for Virtual Engineering (2006) (invited talk)

2. Nieves, J., Santos, I., Penya, Y.K., Rojas, S., Salazar, M., Bringas, P.G.: Mechanical properties prediction in high-precision foundry production. In: Proceedings of the 7 th IEEE International Conference on Industrial Informatics (INDIN 2009), pp. 31–36 (2009)

3. Lecture Notes in Computer Science;J. Nieves,2010

4. Santos, I., Nieves, J., Penya, Y.K., Bringas, P.G.: Machine-learning-based mechanical properties prediction in foundry production. In: Proceedings of ICROS-SICE International Joint Conference (ICCAS-SICE), pp. 4536–4541 (2009)

5. Nieves, J., Santos, I., Bringas, P.: Overcoming data gathering errors for the prediction of mechanical properties on high precision foundries. In: World Automation Congress (WAC), pp. 1–6. IEEE, Los Alamitos (2010)

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