RT Conference Proceedings
T1 Instability detection on a radial turning process for superalloys
A1 Cortadi, Alberto Jimenez
A1 Boto, Fernando
A1 Irigoien, Itziar
A1 Sierra, Basilio
A1 Suarez, Alfredo
A2 Perez Garcia, Hilde
A2 Alfonso-Cendon, Javier
A2 Sanchez Gonzalez, Lidia
A2 Corchado, Emilio
A2 Quintian, Hector
AB Two different models for instability detection in a radial turning process are proposed in order to prevent fault appearance. This methods allows to detect instability on this machining process based on the forces. Median Absolute Deviation Normalized (MADN) and Principal Component Analysis (PCA) are the statistical methods used to classify those tests. The results have showed that the models are close to expert classification of the tests stability.
PB Springer Verlag
SN 9783319671796
SN 2194-5357
YR 2018
FD 2018
LK https://hdl.handle.net/11556/1938
UL https://hdl.handle.net/11556/1938
LA eng
NO Cortadi , A J , Boto , F , Irigoien , I , Sierra , B & Suarez , A 2018 , Instability detection on a radial turning process for superalloys . in H Perez Garcia , J Alfonso-Cendon , L Sanchez Gonzalez , E Corchado & H Quintian (eds) , International Joint Conference SOCO’17- CISIS’17-ICEUTE’17, Proceedings . Advances in Intelligent Systems and Computing , vol. 649 , Springer Verlag , pp. 247-255 , International Joint Conference on 12th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2017, 10th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2017 and 8th International Conference on European Transnational Education, ICEUTE 2017 , Leon , Spain , 6/09/17 . https://doi.org/10.1007/978-3-319-67180-2_24
NO conference
NO Publisher Copyright: © 2018, Springer International Publishing AG.
DS TECNALIA Publications
RD 31 jul 2024